# Sift
> Fraud Prevention Platform for Digital Business
> Sift is the leading fraud prevention platform delivering digital trust to 700+ global brands, allowing them to grow confidently by stopping fraud while enabling excellence in customer experience. Backed by a global data network of over one trillion annual events, Sift helps companies convert risk into revenue and scale without compromise. Brands including Hertz, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences.

> Full index — all publicly indexed pages. Generated by Sift on 2026-09-26

## Pages
- [Accertify Alternatives | Demo](https://sift.com/program-accertify-demo/): Book a live demo of Sift, the Accertify alternative built on AI-powered decisioning and a global network of 1 trillion annual fraud events.
- [Account Defense](https://sift.com/platform/account-defense/): Sift helps you decide which sessions to trust, challenge, or escalate, stopping account takeover while cutting analyst workload and customer friction.
- [Account Takeover Fraud](https://sift.com/solutions/account-takeover-fraud/): Stop account takeover at login with Sift. AI-driven detection, built-in MFA, and identity-level insights keep trusted users moving and fraudsters out.
- [Alternatives to Accertify](https://sift.com/program-accertify-alternatives/): Compare Accertify alternatives feature by feature. See how Sift's AI-powered fraud platform delivers deeper data, custom models, link analysis.
- [Alternatives to Kount](https://sift.com/program-kount-alternatives/): Looking for alternatives to Kount? Compare Sift's AI-powered fraud platform feature-to-feature against Kount's solution.
- [Blog](https://sift.com/blog/): Expert insights on payment fraud, account takeover, chargebacks and digital trust from the team behind Sift's fraud prevention platform.
- [Brand Center](https://sift.com/company/brand-center/): Explore what makes us Sift, the first step on your journey of becoming a Sift Brand Ambassador.
- [Careers](https://sift.com/careers/): Browse open jobs at Sift and help build a safer internet. Explore engineering, product, sales, and go-to-market roles, plus benefits and our values.
- [CFO](https://sift.com/solutions/cfo/): CFOs, alongside executives in CISO, CTO, and CPO roles are highly invested in securing customers and revenue. See how it's done with Sift.
- [Company](https://sift.com/company/): Sift is a fraud prevention company trusted by 700+ brands, scoring 1 trillion events a year across 34K+ sites and apps. Meet the team.
- [Contact Us](https://sift.com/contact-us/): Contact Sift for sales, support, media, or partnership questions. Log in to the Console, reach the Support team, or send us your request today.
- [Customer Reviews](https://sift.com/customer-reviews/): See why fraud and risk teams rank Sift #1 in fraud detection on G2. Make real-time decisions, reduce fraud losses, and protect revenue with less customer friction.
- [Cybersecurity](https://sift.com/solutions/information-security/): See why CISOs choose Sift for fraud prevention for security teams: unified threat visibility, stronger account defense, and less reliance on 2FA.
- [Data Rights Request](https://sift.com/data-request/): Use this form to submit a data rights request to Sift. Our privacy team will review your request and respond based on applicable privacy laws.
- [Demo](https://sift.com/demo/): Book a live Sift demo and see how our AI-powered fraud platform stops fraud in real time and approves more trusted customers.
- [Developer Overview](https://sift.com/developer-overview/): Integrate the Sift Platform through open, accessible, and easy-to-understand API documentation.
- [E-Commerce Fraud Prevention](https://sift.com/solutions/digital-commerce/): Stop e-commerce fraud with Sift. Block ATO, payment fraud, and chargeback abuse in real time while approving more legitimate orders at checkout.
- [E-Commerce Fraud Protection | Demo](https://sift.com/program-ecommerce-demo/): Get a free demo of our AI-powered fraud decisioning platform for e-commerce. Digital commerce companies grow fearlessly with Sift.
- [Events](https://sift.com/events/): Explore Sift events, webinars, and conferences where you can connect with our team, or plug into our network of peers and professionals.
- [Fake Account Creation](https://sift.com/solutions/fake-account-creation/): Stop fake account creation at signup with Sift. Block bots and synthetic identities in real time, cut manual reviews, and protect promos and free trials.
- [FIBR](https://sift.com/fibr-fraud-industry-benchmarking-resource/): Compare your fraud rates with FIBR, Sift's fraud benchmarking resource covering payment fraud, chargeback, and ATO data by industry and region.
- [Food & Delivery](https://sift.com/solutions/food-delivery/): Prevent food delivery fraud with Sift. Block fake orders, promo abuse, and chargebacks while keeping checkout fast for the diners who order again.
- [Food and Delivery Demo](https://sift.com/program-food-delivery-demo/): Sift delivers fraud prevention for food & delivery merchants in real-time using trillions of annual data signals and advanced ML.
- [Fraud & Compliance](https://sift.com/solutions/trust-fraud-operations/): Scale fraud operations without scaling headcount. Sift helps trust and risk teams automate decisions, cut review queues, and unlock revenue with less risk.
- [Fraud Intelligence Center](https://sift.com/fraud-center/): Explore the Sift Fraud Intelligence Center for current fraud trends, expert analysis, benchmarking data, and practical guidance for risk teams.
- [Fraud Prevention for Fintech](https://sift.com/solutions/fintech-finance/): Stop fintech fraud with Sift. Block fake signups, account takeover, and unauthorized transfers in real time across neobanks, crypto, and wallets.
- [Fraud Schemes](https://sift.com/fraud-schemes/): Explore real fraud schemes uncovered by Sift's Trust and Safety Architects, from OTP bots and fraud-as-a-service to crypto cash-out rings.
- [GTFO](https://sift.com/gtfo/): It's time to Get the Fraud Out with Sift. Stop digital risk at the source, reduce losses, and keep trusted customers moving.
- [iGaming](https://sift.com/solutions/online-gambling/): Stop bonus abuse, account takeover, and payment fraud with Sift's iGaming fraud prevention. Approve real players faster across betting and casino.
- [Index Report Q1 2026](https://sift.com/index-report-q1-2026/): Benchmark your payment fraud and account takeover performance with Q1 2026 Digital Trust Index insights from Sift, including industry trends, consumer findings, and practical next steps for fraud teams.
- [Index Reports Disputes Q4-2023](https://sift.com/index-reports-disputes-q4-2023/): Explore chargeback disputes data, first-party fraud trends, and consumer insights in Sift's Q4 2023 Digital Trust & Safety Index report.
- [Internet & Software Fraud Prevention](https://sift.com/solutions/internet-software/): SaaS fraud prevention from Sift protects subscriptions, digital content, and in-app purchases from payment fraud, account takeover, and bot attacks.
- [Internet & Software Fraud Protection | Demo](https://sift.com/program-internet-software-demo/): Discover how Sift turns digital trust into revenue with AI-powered fraud solutions for internet & software businesses.
- [Investors](https://sift.com/investors/): Learn about the investors backing Sift, the leading platform in AI-powered fraud prevention serving the global enterprise.
- [IT Operations](https://sift.com/solutions/it-operations/): See how Sift's AI-powered risk decisioning platform secures and supports high-growth, high-revenue IT operations.
- [Kount Alternatives | Demo](https://sift.com/program-kount-demo/): Book a live demo of Sift, the Kount alternative powered by AI decisioning, a 1T-event global network, and support from trust and safety experts.
- [Marketplaces Fraud Protection | Demo](https://sift.com/program-marketplaces-demo/): See Sift in action and discover how to streamline three-way trust between buyers, sellers, and your business with Sift’s AI-powered fraud solutions for marketplaces. Request a demo.
- [New Releases](https://sift.com/platform/new-releases/): Explore the latest innovations on the Sift platform, built to help fraud teams stay ahead of constantly evolving attacks.
- [Partner Technology](https://sift.com/partners/technology/): Discover Sift technology integrations connecting identity, payments, and security to deliver real-time fraud prevention and build digital trust across every journey.
- [Partnerships](https://sift.com/partnerships/): Join the Sift Partner Program as a reseller, service provider, or technology partner. Get deal protection, MDF, training, and co-selling support.
- [Patents](https://sift.com/patents/): Sift’s AI-powered fraud decisioning services leverage the features and functionality of different patents owned by Sift Science, Inc.
- [Payment Fraud](https://sift.com/solutions/payment-fraud/): Turn payment fraud prevention into growth. Sift scores every transaction in 150ms to block card testing and stolen cards while approving more real buyers.
- [Payment Protection](https://sift.com/platform/payment-protection/): Sift Payment Protection delivers real-time payment fraud protection, blocking stolen card and card testing attacks while approving more orders.
- [Peak Event Fraud Readiness](https://sift.com/peak-event-readiness/): See how Sift helps fraud and risk teams prepare for peak events with real-time decisioning, dynamic risk-based friction, and adaptive protection across the full customer journey.
- [Platform Overview](https://sift.com/platform/): Sift's fraud prevention platform gives teams insight, control, and expertise to reduce fraud and protect revenue across the entire customer journey.
- [Product](https://sift.com/solutions/product-management/): Stop building fraud tools in-house. Sift gives product teams ready-to-integrate fraud prevention, so engineering stays focused on core roadmap.
- [Professional Services](https://sift.com/services/): Explore Sift's professional services offerings, and discover how customers see greater success with support from a dedicated team of experts.
- [PSD2](https://sift.com/psd2/): Turn PSD2 compliance into growth with Sift. Apply dynamic SCA, maximize exemptions, boost conversions, and get ready for PSD3 and PSR rules.
- [Q1 2025 Digital Trust Index](https://sift.com/index-reports-payment-fraud-q1-2025/): Discover the latest payment fraud data, consumer insights, and emerging trends in the Q1 2025 Sift Digital Trust Index.
- [Q2 2024 Digital Trust Index: AI Fraud Data and Insights](https://sift.com/index-reports-ai-fraud-q2-2024/): Explore AI fraud data, deepfake and phishing trends, and consumer insights in Sift's Q2 2024 Digital Trust Index on managing AI-fueled risk.
- [Q2 2025 Digital Trust Index](https://sift.com/index-reports-ai-fraud-q2-2025/): Discover the latest trends in AI fraud, online consumer behavior, and advanced AI-powered fraud solutions for securing digital trust.
- [Q2 2026 Digital Trust Index](https://sift.com/index-report-q2-2026/): Read the Q2 2026 Digital Trust Index for fraud ring intelligence, account takeover benchmarks, payment fraud trends, and consumer fraud data.
- [Q3 2024 Digital Trust Index](https://sift.com/index-reports-account-takeover-fraud-q3-2024/): Discover the latest account takeover data, consumer insights, and emerging fraud trends in the Q3 2024 Sift Digital Trust Index.
- [Q3 2025 Digital Trust Index](https://sift.com/index-reports-account-takeover-fraud-q3-2025/): Explore Q3 2025 account takeover fraud data, consumer insights, and the impact of AI on digital trust in Sift’s Digital Trust Index.
- [Q4 2025 Digital Trust Index](https://sift.com/index-reports-disputes-q4-2025/): Discover Q4 2025 insights on disputes and chargebacks in Sift’s Digital Trust Index, including industry trends, consumer behavior, and strategies for fraud prevention.
- [Resources](https://sift.com/resources/): Explore Sift’s fraud prevention resources, including analyst reports, ebooks, webinars, and benchmarks on payment fraud, account takeover, and risk decisioning.
- [Risk Assessment](https://sift.com/risk-assessment/): Take Sift’s Digital Risk Assessment to understand your fraud maturity, uncover gaps, and get tailored recommendations to reduce risk and friction.
- [Sift](https://sift.com/): Sift's fraud prevention platform stops payment fraud and account takeover in real time - with transparent workflows, global data and expert analysts.
- [Sift for iGaming | Demo](https://sift.com/program-igaming-demo/): Sift helps iGaming operators reduce revenue leakage at each step of the player journey with end-to-end fraud prevention.
- [Sift payment protection demo video](https://sift.com/sift-payment-protection-demo-video/): Watch the Sift Payment Protection demo. See how it blocks risky transactions, automates payment review, and cuts chargeback rates in real time.
- [Sift Score API](https://sift.com/solutions/sift-score-api/): Sift Score API is a fraud detection API that delivers real-time risk scores from 1T+ annual events and 16,000+ signals, built for in-house risk models.
- [Sifters Community](https://sift.com/community/): With the combined intelligence of fraud fighters across multiple merchants, markets, and regions, the Sifters Community provides a unique environment for risk professionals to lean on—and learn from—each other day-to-day.
- [Sitemap](https://sift.com/sitemap/): View Sift’s full HTML sitemap to access all indexable pages, blog posts, case studies, reports, and resources—organized for easy discovery in one place.
- [Solutions](https://sift.com/solutions/): Explore Sift's fraud prevention solutions for payment fraud, account takeover, and fake signups, with continuous risk scoring across the user journey.
- [SuperSifters](https://sift.com/community/supersifters/): Explore opportunities for Sifters Community members to participate in advocacy and partnership efforts with Sift.
- [The Blueprint](https://sift.com/the-blueprint/): A how-to webinar series for fraud leaders. Learn how to benchmark performance, align fraud with revenue, and scale with real-world strategies.
- [Travel and Transportation](https://sift.com/solutions/travel-transportation/): Stop payment fraud and account takeover across bookings with Sift's travel fraud prevention. Clear trusted travelers instantly and cut chargebacks.
- [Trust Academy](https://sift.com/trust-academy/): Get an introduction to the Merchant Risk Council's CPFPP exam with four free video lessons covering each exam domain, plus knowledge checks and a certificate of completion.
- [Why Sift](https://sift.com/why-sift/): Discover why Sift leads AI-powered risk decisioning: 40+ patents, 1T annual events, expert services, and a global community of fraud professionals.

## Blog Posts
- [‘Tis the season for fraud: How businesses can stay secure during the holidays](https://sift.com/blog/tis-the-season-for-fraud-how-businesses-can-stay-secure-during-the-holidays/): Discover practical strategies to prevent fraud during the holiday shopping rush while reducing friction for trusted customers.
- [[Ebook] Digital Trust & Safety for QSRs: Why legacy rules can’t keep up](https://sift.com/blog/ebook-digital-trust-safety-for-qsrs-why-legacy-rules-cant-keep-up/): It’s not every day that the average person associates quick-service restaurants with cutting-edge technology—after all, french fries and milkshakes are quintessentially basic. But today’s QSRs offer far more than traditional American fast food fare, serving up globe-spanning cuisines and delivering a world of dining options to consumers that are only possible with the help of […]
- [[Ebook] Digital Trust and Safety for QSRs: Moving at the Speed of Trust](https://sift.com/blog/ebook-digital-trust-and-safety-for-qsrs-moving-at-the-speed-of-trust/): In the first quarter of 2019, french fry king McDonald’s took a daring leap into acquisition that’s typically been absent from the quick-service restaurant industry, and notably rare for the QSR giant in particular. The $300 million price tag was well worth it to the global goliath for the purchase of Dynamic Yield, an Israeli […]
- [[Fall ‘25 Release] Deploy Defenses in Minutes, Not Weeks: New Pre-Built Workflows, Investigation Tools, and Advanced Policy Abuse Protection](https://sift.com/blog/q3-2025-product-updates/): Fraud teams are under constant pressure to deliver faster, more secure experiences at uncapped scale. Our Fall ’25 release advances the way businesses detect and evaluate risk, without adding complexity to the work.  Combining pre-built workflows, advanced policy abuse protection, and deeper investigative visibility, these innovations allow for faster defense deployment, sharper threat detection, and […]
- [[INFOGRAPHIC] 2021 Seasonal Fraud Data: Black Friday-Cyber Monday](https://sift.com/blog/infographic-2021-seasonal-fraud-data-black-friday-cyber-monday/): Nearly two years of unpredictable consumer behavior, mass digital migration, and wobbly growth left businesses ready for a 2021 Black Friday weekend that would top the charts in both traffic flow and transaction values. But despite merchants’ expectations for a standout seasonal sales kickoff, global reports revealed a 1.4% drop across e-commerce on Cyber Monday—a […]
- [[Infographic] A Snapshot of Account Takeover](https://sift.com/blog/account-takeover-infographic/): Account takeover tripled over the past year, according to new data from Javelin Strategy, who cited the increase in the availability of valid information on consumers (from huge breaches like Equifax) as a main driver. Do you have a strategy to protect your users and your business from this expanding threat? Check out our new […]
- [[Infographic] Fraud in the World of Online Dating](https://sift.com/blog/online-dating-fraud-infographic/): Suitor or scammer? Friendly flame or fraudster? Although the majority of people who sign up for dating sites are legitimately seeking love, the occasional bad actor sneaks through. That’s why dating sites must be vigilant about keeping their platforms a trustworthy place to connect. Sift Science works with a number of dating sites who are […]
- [[Infographic] Q1 2024 Digital Trust & Safety Index: Navigating the Next Generation of Payment Fraud](https://sift.com/blog/infographic-q1-2024-digital-trust-safety-index-navigating-the-next-generation-of-payment-fraud/): Merchant losses due to payment fraud are projected to escalate to a staggering $362 billion by 2028, driven by economic volatility fueled by inflation and high interest rates. As fraud continues to evolve and economic stressors impact consumer spending habits, businesses must uplevel their fraud detection to stay competitive.  Key findings from Sift’s latest Digital […]
- [[Infographic] Q2 2024 Digital Trust Index: Managing Risk in the Era of AI-Fueled Fraud](https://sift.com/blog/infographic-q2-2024-digital-trust-index-managing-risk-in-the-era-of-ai-fueled-fraud/): Artificial intelligence (AI) has rapidly become a transformative force, reshaping the internet and global economy while attracting the attention of fraudsters exploiting its capabilities. Cybercriminals utilize generative AI tools like ChatGPT to execute sophisticated, scalable fraud against individuals and businesses, leveraging AI’s ability to produce flawless text, code, realistic media, and entire websites. To combat […]
- [[Infographic] The 9 Flavors of Content Spam](https://sift.com/blog/infographic-9-flavors-of-content-spam/): Remember email spam? It used to be the scourge of the inbox, drowning out legitimate messages with sketchy offers for cheap pills and fast loans. But thanks to machine learning, these days you rarely see an unsolicited ad or offer pop up in email. The bad news? Instead, scammers have moved on to plague communities, […]
- [[INFOGRAPHIC] The Mechanics of Retail Fraud: How online attacks gut digital business](https://sift.com/blog/infographic-the-mechanics-of-retail-fraud-how-online-attacks-gut-digital-business/): Retailers enter the digital landscape armed with everything from simple, modest websites to fully-integrated, hybrid customer experiences. But regardless of where your business sits on the spectrum, the Fraud Economy is already there, full of sophisticated, organized cybercriminals ready to take advantage of every move you make to stay secure.  Moves like adding friction to […]
- [[Infographic]: Fraud in the Travel Industry](https://sift.com/blog/infographic-fraud-in-the-travel-industry/): Online booking is booming. That’s great for forward-thinking travel firms that offer customer-pleasing experiences like last-minute booking, streamlined checkout, and flexible reservations. Unfortunately, it’s also great for fraudsters, who prey upon those very “perks” to defraud these companies. To get a snapshot of the challenges faced by modern OTAs and other travel companies, check out […]
- [[NEW DATA] Recession fears, fraud surge over Black Friday/Cyber Monday 2022](https://sift.com/blog/black-friday-cyber-monday-2022/): Explore brand new seasonal fraud insights from Sift’s global network with this interactive infographic.
- [[New ebook] Measuring the true cost of e-commerce fraud](https://sift.com/blog/e-commerce-fraud-cost/): Battling e-commerce fraud involves a balancing act. You want to minimize fraudulent transactions, maximize legitimate ones, and make the quickest and most cost-effective decisions. How are online businesses measuring up? We teamed up with Aberdeen Research to find out. Aberdeen’s findings show that merchants are generally doing a good job at minimizing chargebacks. The much […]
- [[Podcast] 20 Things We’ve Learned from Our Guests](https://sift.com/blog/podcast-20-things-we-learned-linkedin-google-wepay-square/): When we launched Trust & Safety in Numbers last year, we set out to interview people on all sides of the fraud fight. Since then, we’ve sat down with an FBI agent, a former FBI Most Wanted hacker, fraud analysts, and security experts. We’ve learned a dizzying array of information: stories about diabolical fraud nemeses, […]
- [[Podcast] A Fintech Navigates the World of Fraud](https://sift.com/blog/podcast-fintech-fraud/): Curve is a London-based fintech startup that’s out to revolutionize the way we make payments. But new technology creates a wealth of opportunity for consumers and fraudsters alike.  How does a small team prevent — and fight — new and innovative types of fraud? We sit down with Rona Ruthen, head of operations at Curve, […]
- [[Podcast] ATO: Insights from a Fraud Fighter…and a Fraudster](https://sift.com/blog/podcast-ato-account-takeover-brett-johnson/): In 2016, nearly half of online businesses saw a rise in account takeover. Last year saw a similar spike. And as data breaches continue to dominate the headlines, that trend is expected to carry into this year. For your business to succeed, you have to understand ATO from the perspective of a fraud fighter…and a […]
- [[Podcast] Blockchain, Crypto, and the Future of Fraud](https://sift.com/blog/podcast-blockchain-crypto-future-fraud/): Cryptocurrencies and the blockchain represent a new frontier — one that’s wrought with regulatory and fraud challenges. New coin offerings pop up all the time, each decentralized and shrouded in risk. How do you safely transact with a form of currency that people struggle even to define? Coinbase is trying to do just that. The […]
- [[Podcast] Chocodiles and Chargebacks: Stories from Veteran Fraud-Fighters](https://sift.com/blog/podcast-fraud-fighters-wepay-facebook-square/): Being a fraud analyst is a high-stakes job, often punctuated by strange twists and turns. How do analysts navigate the fast-paced world of online fraud? What challenges do they face? And what on earth do chocodiles have to do with it? In this episode, we sit down with two veteran fraud fighters: Michelle Arguelles and […]
- [[Podcast] Content Moderation: Best Practices](https://sift.com/blog/podcast-content-moderation-best-practices/): User-generated content (UGC) is the lifeblood of online marketplaces and communities. When someone posts fraudulent, abusive, or spammy content on your site, it doesn’t just look bad: it’s a visible, public indication that your business isn’t safe. Content abuse hurts your brand and hits your bottom line. Content moderators are often the first line of […]
- [[Podcast] Cryptocurrency: An Uncharted Fraud Frontier](https://sift.com/blog/podcast-cryptocurrency-uncharted-fraud-frontier/): Of all the tech buzzwords to catch the public eye, “cryptocurrency” might be the least understood. Cryptocurrencies like bitcoin are digital assets that are underpinned by cryptography. Like any traditional currencies, cryptocurrencies’ value fluctuates with the market. Unlike traditional currencies, cryptocurrencies are unregulated. Everyone knows that cryptocurrency could change the way we transact online, but […]
- [[Podcast] Fraud in the Online Gaming Industry](https://sift.com/blog/podcast-fraud-online-gaming-industry/): In the world of online gaming, everything happens fast: purchases are fulfilled instantaneously, bets are placed quickly, and through it all, customers expect their gameplay to continue without a hitch. Whether it’s online gambling or a multiplayer role-playing game, the stakes are high. It’s easy to see why games attract fraudsters. How do businesses fight […]
- [[Podcast] Giving Away Our Secrets? The Promise and Peril of White Hat Hacking](https://sift.com/blog/podcast-white-hat-hacking-hackerone/): White hat hackers roam the internet in search of security vulnerabilities. Unlike their black hat counterparts, their goal isn’t to penetrate those vulnerabilities: it’s to make website and business owners aware of these dangerous loopholes. But Alex Rice, co-founder of bug bounty organizationHackerOne, says that white hat hackers are playing a dangerous game. Without a […]
- [[Podcast] How Two Trust & Safety Experts Fight ATO](https://sift.com/blog/podcast-trust-safety-account-takeover-ato/): Fighting account takeover (ATO) isn’t as simple as banning a fraudster. In committing ATO, fraudsters can imitate an honest user’s behavior, making the attack difficult to detect. And once you have detected it and stopped the fraudster, you then have to regain the affected user’s trust. ATO is a major pain — and it can seriously […]
- [[Podcast] How-To: Building an International, Dynamic Fraud Team](https://sift.com/blog/podcast-fraud-team-international/): As many of you know, building a trust & safety team isn’t easy. Our trust & safety expert Kevin Lee has helped walk us through it in the past, but there’s always more to learn! What if your team spans continents? What if you’re building from scratch? What if you’re dealing with a type of fraud […]
- [[Podcast] International Fraud and Cybersecurity](https://sift.com/blog/podcast-international-fraud-cybersecurity/): Ecommerce fraud seems pretty, self-contained, right? Your trust & safety team catches a fraudster, you put safeguards in place to prevent similar fraud from happening in the future, and that’s the end of the story. Or is it? You may not realize it, but online fraud and other cyber threats can have serious ramifications for […]
- [[Podcast] Interview with Sift Science CTO Fred Sadaghiani](https://sift.com/blog/podcast-interview-sift-science-cto-fred-sadaghiani/): Technology moves fast, and Fred Sadaghiani has always kept pace with it. Fred thrives in environments where he can solve hard, fun, meaningful problems. This drive has led him to startups like TeachStreet, to behemoths like Amazon — and now to Sift Science, where Fred is CTO. At Sift Science, Fred spearheads the development of […]
- [[Podcast] One Size Fits None: Risk-Based Fraud Fighting](https://sift.com/blog/podcast-twitter-risk-based-fraud-fighting/): Fraudsters are constantly innovating, which pushes online fraud and security experts to do the same. But according to Robert Lee, a fraud expert with experience at Twitter and Amazon, fraud fighters are over-relying on a “one size fits all” approach. The result? Websites aren’t safe, data breaches are constant, and account takeover is on the […]
- [[Podcast] The Rising Threat of Content Abuse](https://sift.com/blog/podcast-content-abuse-rising-threat/): User-generated content is the lifeblood of marketplaces and communities — which is why content abuse is such a painful problem. Content abuse is any fake or malicious content posted on a site, usually to defraud the business or another user. And it’s a rapidly growing problem. By 2022, people will be exposed to more fake […]
- [[Podcast] Trust & Safety in the Era of Machine Learning](https://sift.com/blog/podcast-trust-safety-machine-learning-fred-sadaghiani/): Sift Science CTO Fred Sadaghiani is no stranger to cutting-edge technology. He thrives in environments where he can solve hard, fun, meaningful problems. At Sift Science, that means fighting fraud and fostering trust with the power of machine learning (ML).  But Sift Science isn’t the only company using ML. In fact, ML seems to be […]
- [[Podcast] Valentine’s Day Special: Fairytales & Fraud with a Zoosk VP](https://sift.com/blog/podcast-valentines-zoosk-online-dating-fraud/): Love is in the air…and on the internet. Over the past five years, the number of people who use online dating sites to meet potential partners has increased threefold. But star-crossed lovers aren’t the only people flocking to dating sites; fraudsters are too. On this special Valentine’s Day episode, we’re sitting down with Sejal Monterroso, […]
- [[Q&A] Sift’s Trust and Safety Experts on Fraud Prevention During Economic Unrest](https://sift.com/blog/sifts-trust-and-safety-experts-on-fraud-prevention-during-economic-unrest/): A global pandemic disrupts the economy on a global scale. Right now, merchants are facing unprecedented pressure as they struggle to adapt to newly virtual (or depleted) workforces and fluid market landscapes. What tomorrow holds is almost as big of a question mark as what things will look like in two months, leaving business leaders […]
- [[REPORT] Attempted Payment Fraud Up 69% YoY Amidst a Booming Fraud Economy](https://sift.com/blog/report-attempted-payment-fraud-up-69-yoy-amidst-a-booming-fraud-economy/): New data from Sift’s global merchant network illustrates the rising impact of payment fraud in 2020. Explore the report to get expert insights from our Data Science team.
- [[REPORT] Battling the New Breed of Account Takeover Fraud](https://sift.com/blog/report-battling-the-new-breed-of-account-takeover-fraud/): New data from Sift’s global network illustrates the rapid evolution of account takeover abuse and its impact on digital commerce. Explore the report to get expert insights from our Data Science team.
- [[Report] Digital Trust & Safety Index: Account Takeover Fraud and the Growing Burden on Business](https://sift.com/blog/report-digital-trust-safety-index-account-takeover-fraud-and-the-growing-burden-on-business/): Account takeover fraud has plagued e-commerce merchants since the dawn of online business. But the past few years haven’t only proven how pervasive ATO is across every industry—they’ve revealed that it’s the typical fraudster’s weapon of choice. Between Q2 2019 and Q2 2020, overall ATO rates (the percentage of total logins that were stopped because […]
- [[Report] Digital Trust & Safety Index: Content Abuse and the Fraud Economy](https://sift.com/blog/digital-trust-safety-index-content-abuse-fraud-economy/): Content abuse comes in all shapes, sizes, and scams, and the methods behind it have steadily become smarter and more sophisticated since the dawn of digital business. Despite herculean efforts by trust and safety teams to interpret fraud trends and better fight internet criminals, fake content is a uniquely sinister vehicle for hijacking data—because, like […]
- [[Report] Digital Trust & Safety Index: Surprising New Fraud Trends and Developments](https://sift.com/blog/report-digital-trust-safety-index-surprising-new-fraud-trends-and-developments/): Fraudsters and Trust and Safety teams have found themselves in a never-ending game of cat-and-mouse, evolving their methodologies and processes to outsmart and outwit each other. Fraudsters know they can’t keep relying on the same tactics, so they change things up to try to throw fraud professionals off their scent. Fraud fighters then have to […]
- [[REPORT] How Spam and Scams Mobilize the Fraud Economy](https://sift.com/blog/report-how-spam-and-scams-mobilize-the-fraud-economy/): New data from Sift’s global network illustrates how content abuse fuels the digital Fraud Economy in 2021. Explore the report to get expert insights from our Data Science team.
- [[Report] Outsmarting payment fraud in the age of automation](https://sift.com/blog/report-outsmarting-payment-fraud-in-the-age-of-automation/): Discover how automated abuse tactics fuel rising payment fraud across various industries in our Q1 2022 Digital Trust & Safety Index.
- [[REPORT] Q2 Digital Trust & Safety Index: Content abuse up 28%; crypto-fraud on the rise](https://sift.com/blog/report-q2-digital-trust-crypto-fraud-on-the-rise/): Explore this new infographic showing data from Sift's "Q2 Digital Trust & Safety Index: Quantifying the collateral damage of content fraud."
- [[REPORT] Q4 2021 Digital Trust & Safety Index: Navigating the new normal of digital fraud and disputes](https://sift.com/blog/report-q4-2021-digital-trust-safety-index-navigating-the-new-normal-of-digital-fraud-and-disputes/): Explore new data from Sift on how the rise of digital commerce and online fraud is leading to increased chargebacks and disputes.
- [[WEBINAR] 5 Growing Fraud Threats to Omnichannel Retail](https://sift.com/blog/webinar-5-growing-fraud-threats-to-omnichannel-retail/): Trust and safety experts Karisse Hendrick and Kevin Lee discuss omnichannel retail digitization and emerging fraud threats in a webinar hosted by Sift and Retail Dive.
- [[Webinar] Building Lasting Loyalty: How to Evolve from Fraud Prevention to Digital Trust](https://sift.com/blog/webinar-building-lasting-loyalty-how-to-evolve-from-fraud-prevention-to-digital-trust/): Last week, Sift partnered with CardNotPresent.com to present the webinar “Building Lasting Loyalty: How to Evolve from Fraud Prevention to Digital Trust”. The panel of experts included our Trust & Safety Architects Kevin Lee and Jeff Sakasegawa, who were joined by CNP editor-in-chief DJ Murphy. Here’s what they discussed. 1) Legacy approaches to fraud-fighting can’t […]
- [[Webinar] Friction, Fraud, and Fintech: Delivering speed and security with Digital Trust & Safety](https://sift.com/blog/webinar-friction-fraud-and-fintech-delivering-speed-and-security-with-digital-trust-safety/): Financial tech services brought rapid innovation to banking. Businesses everywhere can manage capital faster and with more flexibility, making room for speedier growth and greater expansion.  But these advancements also give fraudsters more opportunities to do what they do best: exploit anything in the customer journey that reduces friction for trusted users. In a recent […]
- [[Worksheet]: Measuring the Cost of Content Abuse, Account Takeover, and Payment Fraud](https://sift.com/blog/cost-of-fraud-worksheet/): We’ve all seen the big headlines about the monetary damage of fraud. Retailers will lose $71B to card-not-present fraud in the next five years. Account takeover losses reached $5.1 billion in 2017. Still, individual businesses sometimes struggle to identify their top fraud and abuse KPIs, and develop frameworks for measuring them. Investing time to figure out how […]
- [10 Warning Signs of eCommerce Fraud (Part 2): Beware of first-time shoppers](https://sift.com/blog/beware-the-first-time-shoppers/): Fraudsters come in many sizes (individuals with a stolen purse, organized rings of credit card thieves, evil bots) and with many habits. In last week’s original “10 Warning Signs of eCommerce Fraud”, our list covered a wide range of indicators. In this post, we'll cover the first three signals: First time shoppers, bulk orders, and order variance. More often than not, signals indicating a first-time shopper who deserves a second glance. 
- [10 Warning Signs of eCommerce Fraud (Part 3): What’s the Rush?](https://sift.com/blog/10-warning-signs-of-ecommerce-fraud-part-3-whats-the-rush/): Be honest, how often do you pay for rush shipping? What about for international orders -- when are you willing to pony up the big bucks? Chances are that unless you’re running late on a birthday gift or missed your holiday shopping window, you opt for t he free shipping options. In our third installment of the "10 Warning Signs of eCommerce Fraud" series, we tackle signals 4, 5, 7, and 8 that deal with shipping and address details.
- [10 Warning Signs of eCommerce Fraud (Part 4): Money, Money, MONEY!](https://sift.com/blog/10-warning-signs-of-ecommerce-fraud-part-4-money-money-money/): Hey, you! Take out your wallet for me. Inside that wallet, how many credit cards do you have? Two? Three? Did you know that, on average, Americans have 2.6 credit cards per eligible person. In this final installment of the "10 Warning Signs of eCommerce Fraud" series, we examine the patterns related to credit card and billing data, signals 6, 9, and 10. With that in mind, when merchants encounter IP addresses with more than two credit cards associated, a red flag might be raised. Considering the number of cards that the average American carries, too many credit cards can signal fraud.
- [11 Benefits of Preventing Fraud and Scams](https://sift.com/blog/11-benefits-of-preventing-fraud-and-scams/): For savvy businesses, fraud prevention isn’t just about protecting the financial health of the customers and company. Securing data, funds, and accounts also creates opportunities to expand into new regions and markets. Below are eleven key ways to leverage fraud prevention for growth. 11 Benefits of Preventing Fraud and Scams Putting fraud prevention at the […]
- [12 Questions for Jason Tan, CEO of Sift Science](https://sift.com/blog/jason-tan-ceo-sift-science-interview/): The man, the myth, the legend, the….rapper? While Jason has been the subject of countless press interviews in Sift Science’s five years, he’s often answering questions about machine learning, fraud, and the company’s future. But today, we aren’t here to ask questions about those topics, we’re here to get to know the CEO of Sift […]
- [15 Years of Sift: Jason Tan and Marc Friend on Fraud, Trust, and What Comes Next](https://sift.com/blog/15-years-of-sift/): Fifteen years is a long time in any industry. In fraud prevention, where the threats mutate, the technology turns over, and the stakes keep rising, it’s a lifetime. Sift started in 2011 with a list of five ideas and no background in fraud, and grew into the platform that helps the world’s leading digital businesses […]
- [2019 Gartner Market Guide for Online Fraud Detection – 5 key takeaways for fraud fighters](https://sift.com/blog/gartner-fraud-detection-guide-5-key-takeaways/): Get key recommendations for navigating the online fraud detection market from Gartner Research and our 5 must-read takeaways from the report.
- [2020 E-commerce Fraud Data: Digital Trust & Safety Index recap](https://sift.com/blog/2020-e-commerce-fraud-data-digital-trust-safety-index-recap/): Throughout the tumultuous year that was 2020, fraud never came to a grinding halt the way that many businesses had to. Despite most e-commerce companies being forced to pivot to new channels and scale rapidly for ballooning digital demand, fraudsters simply adapted, too, introducing new attack methods and more complex, sophisticated strategies for stealing.  In […]
- [2020 Gartner Market Guide for Online Fraud Detection – 3 Key Takeaways](https://sift.com/blog/2020-gartner-market-guide-for-online-fraud-detection-3-key-takeaways/): Get key recommendations for navigating the online fraud detection market from Gartner Research and our 3 must-read takeaways from the report.
- [2021 Retail Fraud Stats Online Merchants Need to Know](https://sift.com/blog/2021-retail-fraud-stats-online-merchants-need-to-know/): Retailers are playing an old game on a new court. Online retail fraud mitigation may have similar goals (and consequences) to brick-and-mortar loss prevention, like protecting inventory and securing revenue. But unlike arming a physical location against theft, retail sites and apps need to protect their goods and the people buying them, while still meeting […]
- [2023 Dispute data, consumer insights, and trends](https://sift.com/blog/dispute-data-consumer-insights-and-emerging-trends-from-2023/): Discover key findings from the latest Sift Digital Trust & Safety Index, including the rise in first-party fraud, industry-specific dispute patterns, and the implications of Visa's Compelling Evidence 3.0 guidelines.
- [2024 in Review: Innovations, Partnerships, and Industry Recognition at Sift](https://sift.com/blog/2024-in-review-innovations-partnerships-and-industry-recognition-at-sift/): We just wrapped up another year and we’re looking back on the key innovations, partnerships, and recognition that have shaped 2024. In 2024, we introduced powerful product enhancements and technologies to our platform, celebrated new and existing customers, and secured valuable partnerships and industry recognition.  Here’s a look at the innovations, partnerships, and insights that […]
- [3 common ATO attacks—and how to stop them](https://sift.com/blog/3-common-ato-attacks-and-how-to-stop-them/): Learn about common ways fraudsters attempt to gain access to your users’ accounts and how to combat them.
- [3 New Console Changes to Supercharge Manual Review](https://sift.com/blog/3-new-console-changes-supercharge-manual-review/): We built our Console to make fraud easier to understand and manual review more efficient. Earlier this month, we rolled out three new features to help teams increase their performance and work better together. Escalation Queues: Get a second pair of eyes on tricky cases We all get by with a little help from our […]
- [3 Tactics Fraudsters Have Learned from Fraud Fighters](https://sift.com/blog/brett-johnson-phishing-machine-learning/): Most fraud fighters have one thing in common: they’re curious. They’re constantly learning, observing fraudsters’ tactics and evolving in response. But what if fraudsters are doing the same thing? According to Brett Johnson,  a former FBI Most Wanted hacker, this isn’t a hypothetical. Brett says cybercriminals have started to learn from fraud fighters. “It’s important […]
- [3 Themes from the MAG-Sift Merchant Meet-Up: Agents, Passkeys, and Identity Trust](https://sift.com/blog/mag-meetup-agents-passkeys-identity-trust/): This October, merchants from across the Bay Area gathered at WeWork Embarcadero for the MAG | Sift San Francisco Merchant Meet-Up—an afternoon of practical insight and open discussion about the state of fraud in digital commerce. Hosted with the Merchant Advisory Group (MAG), the event gave peers space to explore what’s next in digital risk […]
- [3 Things We Learned at the Women’s Trust Network Event](https://sift.com/blog/second-womens-trust-network-turo-trust-and-safety/): Working in Trust & Safety can be a lonely experience — doubly so for women in the space. That’s why we were proud to sponsor the second annual Women’s Trust Network (WTN) event! Talented, experienced women across the industry got together to network, share best practices, commiserate, and get excited about the future of Trust […]
- [3D Secure Authentication: How It Protects Online Payments](https://sift.com/blog/3d-secure-authentication-how-it-protects-online-payments/): Online shopping is part of everyday life in the UK, but with it comes a growing risk: card-not-present fraud. In 2024 alone, remote-purchase fraud cost UK businesses over £722 million, making it the most common type of payment fraud. To help reduce these losses and build trust in digital commerce, the payments industry relies on […]
- [4 Things We Learned at Our STEMinist Discussion](https://sift.com/blog/4-things-learned-steminist-discussion/): What is some practical advice for women in tech from experienced leaders in the field? To find out, we hosted a STEMinist discussion at Sift Science where we invited four panelists to offer their advice. We brought together industry leaders from the social, hardware, and enterprise software industries to talk about how they’ve navigated their […]
- [4 top takeaways from the MRC Data Science Summit](https://sift.com/blog/4-top-takeaways-from-the-mrc-data-science-summit/): Sift recently had the pleasure of sponsoring and speaking at the inaugural MRC Data Science Summit, dedicated to exploring the power of data science and machine learning in fraud prevention and payments.  The virtual summit was buzzing with conversations about the latest developments in machine learning being leveraged by merchants, the pros and cons of […]
- [5 E-commerce Fraud Webinars to Watch Again in 2021](https://sift.com/blog/5-e-commerce-fraud-webinars-to-watch-again-in-2021/): As we wrap on an unforgettable year, we’ve handpicked five e-commerce fraud webinars from 2020 that trust and safety experts will want to remember. Watch the recaps below to explore COVID-19’s big impact on chargebacks, see how content abuse, account takeover, and payment fraud are changing, and learn how fraud prevention tools are adapting to […]
- [5 Factors for Selecting a Fraud Prevention Solution](https://sift.com/blog/five-factors-for-selecting-a-fraud-prevention-solution-with-insights-featuring-gartner/): Get expert tips on business considerations to prioritize, features to look for, and questions to ask when researching and comparing fraud prevention solutions.
- [5 iGaming Industry Shifts Redefining Player Profitability and Risk](https://sift.com/blog/5-igaming-industry-shifts-redefining-player-profitability-and-risk/): The iGaming industry is entering a new era, and conversations at the recent SBC Player Protection Event made one thing abundantly clear: risk is evolving faster than the systems designed to manage it. Operators preparing for major events like ICE Barcelona need to move past the traditional, siloed approach to compliance. Insights from a panel […]
- [5 Trends Redefining Fraud](https://sift.com/blog/5-trends-redefining-fraud/): In the minute it takes you to read this paragraph, nearly 4,000 people will fall victim to fraud.That’s about 60 passwords, email addresses, credit card numbers, or security questions stolen each second. When fraud happens that fast, anyone would find it difficult to keep up — even the sharpest fraud analyst or most innovative project manager. That’s […]
- [7 Best Fraud Prevention Software Platforms for Protecting Your Business ](https://sift.com/blog/best-fraud-prevention-software/): Fraud presents a serious and continuous risk for businesses.  Evolving AI technology is being trained by bad actors to infiltrate, steal, and mislead, resulting in financial losses, scams, chargebacks, and account takeovers (ATO) that damage both brand reputation and the bottom line.  In 2024, American businesses lost more than $12.5 billion to fraud, while global […]
- [7 types of food delivery scams and how to stop them](https://sift.com/blog/7-types-of-food-delivery-scams-and-how-to-stop-them/): Protect your business from fraud using these actionable tips to prevent common food delivery scams.
- [A Day in the Life of a Business Development Representative at Sift Science](https://sift.com/blog/day-life-bdr-sift-science/): In this series, we sit down with Sifties to find out what a typical day in their role is like, how they overcome any challenges they might face, and what it’s like to work at Sift Science. Sameer Jauhar is a Business Development Representative (BDR) in our San Francisco office. Read about what it’s like […]
- [A Day in the Life of a Senior Software Engineer at Sift Science](https://sift.com/blog/day-life-senior-software-engineer-sift-science/): In this series, we sit down with Sifties to find out what a typical day in their role is like, how they overcome any challenges they might face, and what it’s like to work at Sift Science. Michel Goldstein is a Senior Software Engineer who works in our Seattle office. Read on to find out […]
- [A Deep Dive into COVID Passport Fraud](https://sift.com/blog/a-deep-dive-into-covid-passport-fraud/): Learn about the rise of fake and forged COVID passports, what it means for businesses, and how to stay informed in the midst of the evolving landscape.
- [A fortified approach to preventing promo, bonus, and other multi-account abuse for iGaming](https://sift.com/blog/preventing-promo-bonus-and-multi-account-abuse-for-igaming/): Discover three innovative ways to prevent multi-account fraud and bonus abuse to accelerate iGaming player acquisitions and maximize market share.
- [A Guide to Integrated Risk Management](https://sift.com/blog/a-guide-to-integrated-risk-management/): Digital risk poses a threat to entire organizations. Traditional, siloed approaches to risk management are inadequate for addressing these complex challenges.  Discover how integrated risk management (IRM) can help you dismantle organizational silos and promote a culture of shared responsibility for risk identification, assessment, and mitigation. What is Integrated Risk Management? Integrated risk management (IRM) […]
- [Account takeover data, consumer insights, and emerging trends in 2023](https://sift.com/blog/account-takeover-data-consumer-insights-and-emerging-trends-in-2023/): See findings from Sift’s Q3 2023 Digital Trust & Safety Index on account takeover data, consumer insights, and emerging trends.
- [Account takeover data, trends, and insights](https://sift.com/blog/account-takeover-data-trends-and-insights/): Data from Sift’s latest quarterly Digital Trust & Safety Index reveals increasing ATO attacks targeting fintech and damaging consumer trust.
- [Account Takeover Protection: How to Stop ATO](https://sift.com/blog/account-takeover-protection-how-to-stop-ato/): Account takeover (ATO) fraud occurs when a fraudster gains unauthorized access to a legitimate user account, typically to steal stored value, make fraudulent purchases, or exploit the account’s trust status to commit further fraud.  For e-commerce platforms, marketplaces, iGaming operators, and SaaS businesses, ATO is one of the highest-impact fraud types in the Fraud Economy […]
- [Account Takeover: A Cross-Functional Problem](https://sift.com/blog/account-takeover-a-cross-functional-problem/): Account takeover (ATO) isn’t just a problem for a business’s fraud and security teams – ATO has spillover effects that take a toll on every team in the company, from Customer Service to Data Analytics to PR and Communications. How does ATO impact teams cross-functionally, and what can a business do to help its entire […]
- [Account takeover: Protect your business from this emerging threat](https://sift.com/blog/account-takeover-protect-business-emerging-threat/): You may have heard that account takeover (ATO) is on the rise for all types of companies, from e-commerce merchants to SaaS businesses. The first step to protecting your business is understanding the problem. Let’s take a look at why ATO is growing. What is account takeover? ATO, also known as account compromise, is just […]
- [Addressing Innovation: A Build-Versus-Buy Model for Payment Protection](https://sift.com/blog/build-versus-buy-model-for-payment-protection/): Fast-growing platforms face a relentless onslaught of payment fraud. The stakes are high: according to MasterCard, global online payment fraud losses are expected to exceed $343 billion from 2024 to 2027. Every fraudulent chargeback or false decline hits the bottom line and erodes customer trust. To tackle this threat, product and engineering leaders must ask […]
- [Advanced Fraud Intelligence & Operational Excellence: Latest Product Innovations](https://sift.com/blog/q2-2025-product-updates/): Fraud leaves businesses little time to react to risk, and costs revenue with every missed signal. Our latest set of innovations gives Sift customers a sharper edge when it comes to fighting fraud proactively and reducing operational friction—now through GenAI-powered behavioral analysis and finely-tuned operational control. All features highlighted have been leveraged with great results […]
- [After a Year of Continued Product Security Enhancements, We’ve Renewed our SOC 2 Type 2 Security Certification](https://sift.com/blog/soc-2-type-2-renewed/): Last year, Sift Science announced successful completion of our first SOC 2 Type 2 audit. But our journey to protect data for the thousands of websites and mobile apps that use Sift Science didn’t end there. Today, we’re thrilled to share news of our SOC 2 renewal, what new controls are in place, and what […]
- [Alaska Airlines Elevates the Customer Experience and Unlocks Fearless Growth with Sift](https://sift.com/blog/alaska-airlines-elevates-the-customer-experience-and-unlocks-fearless-growth-with-sift/): Consumers increasingly expect seamless online transactions, presenting businesses with the dual challenge of enhancing customer experiences while simultaneously combating sophisticated fraud schemes. Finding the right technology partner can make all the difference.  At Sift, we’ve built our platform on the principle of securing digital trust while enhancing business outcomes—enabling companies to fight fraud, grow revenue, […]
- [All About Chargeback Disputes](https://sift.com/blog/all-about-chargeback-disputes/): The chargeback dispute process is not straightforward, and can be incredibly frustrating for merchants. That’s why it’s important for companies to proactively avoid disputes and chargebacks in the first place whenever possible.
- [All About Chargebacks](https://sift.com/blog/all-about-chargebacks/): The chargeback dispute process is not straightforward, and can be incredibly frustrating for merchants. That’s why it’s important for companies to proactively avoid disputes and chargebacks in the first place whenever possible.
- [American Express Chargeback Reason Codes](https://sift.com/blog/american-express-chargeback-reason-codes/): American Express uses four main categories to organize its reason codes: Authorization, Card Member Disputes, Fraud, and Processing Errors as well as two additional categories, Inquiry/Miscellaneous and Chargeback Programs, to classify just a handful of reason codes. These codes can help a merchant with an inquiry or chargeback reversal.
- [Announcing Sift Connect and Partner Program](https://sift.com/blog/sift-connect/): Fraud is constantly evolving. The way we fight it should too. Introducing Sift Connect and the Sift Partner Program – everything you need, all in one place.
- [Announcing Sift Science: fight fraud with large-scale machine learning](https://sift.com/blog/announcing-sift-science-fight-fraud-with-large-scale-machine-learning/): Imagine your website's traffic is skyrocketing. Sales are up each month. Then one day, your payment processor calls you up and tells you you've been hit—with $50,000 in credit card chargebacks.What happened? Fraud. A criminal ring bought $50,000 of goods with stolen credit card numbers from the black market. Weeks after you shipped the goods, the original cardholders noticed a suspicious charge on their monthly statement, called up their bank, and reversed it, generating a chargeback. You, the site owner, are left footing the bill.
- [Announcing Smart Collaboration in Queues: A better way to do manual review](https://sift.com/blog/announcing-smart-collaboration-queues-better-way-manual-review/): No fraud analyst is an island, and that can cause inefficiencies when multiple people work in a review queue. Today, we’re happy to announce Smart Collaboration features that will enable teams to work together seamlessly! Smart Collaboration builds on the Workflows and Queuesfunctionality we launched last July. Now, analysts can claim queue items simply by […]
- [Are You Benchmarking Against the Right Threats? Q1 2026 Insights from Sift’s FIBR](https://sift.com/blog/are-you-benchmarking-against-the-right-threats-q1-2026-insights-from-sifts-fibr/): Fraud spikes demand attention, but focusing too heavily on one visible surge can leave other areas exposed. As defenses strengthen in one part of the journey, attackers often shift tactics, concentrating risk where oversight is lighter. Fraud benchmarking helps teams see beyond immediate spikes so hidden exposure doesn’t quietly grow elsewhere. The Q1 2026 Digital […]
- [Ask Me Anything: 4 core strategies to reduce (and win) disputes](https://sift.com/blog/ask-me-anything-4-core-strategies-to-reduce-and-win-disputes/): With fraud teams now squarely facing the final quarter of 2021, it’s the time of year merchants should be thinking about rising disputes and how to manage them. Not because the end of the year brings an increase in chargebacks—that typically takes place in the aftermath of holiday season transaction surges, in the first quarter […]
- [Average Chargeback Rates: How Does Your Business Compare?](https://sift.com/blog/average-chargeback-rates-how-does-your-business-compare/): Your chargeback rate can enhance or harm your business. It'll depend on if your rate is near the 'high-risk merchant' benchmark, which affects how many credit card processing companies will work with you.
- [AVS and CVV: Address Verification Service and Card Verification Value](https://sift.com/blog/avs-cvv2-verification/): During authorization for an online credit or debit card transaction, the payment processor checks several key pieces of information: whether adequate funds are available to complete the purchase; if the billing address information provided matches the data on file at the bank; and whether the customer correctly entered the card’s security code. AVS AVS (Address […]
- [Behind the Scenes: The Making of a Sift Science Ad Campaign](https://sift.com/blog/behind-scenes-making-sift-science-ad-campaign/): It was a dark and stormy night… Okay, so maybe it was more like a semi-windy August day in the Financial District of San Francisco, but for the sake of setting the mood I’m sure you catch my drift. Five of us (two in-house designers, one marketing coordinator, one photographer, and one makeup artist) were hard […]
- [Behind the Signal: Doral, FL](https://sift.com/blog/behind-the-signal-doral-fl/): What’s up with Doral? Let’s say you’re going through orders, and you come across one with a high order value where the billing and shipping addresses don’t match. You decide to do a bit of sleuthing, starting with research on the shipping city: Doral, FL.
- [Beyond the Breach: 2024 Account Takeover Data & Insights](https://sift.com/blog/beyond-the-breach-2024-account-takeover-data-insights/): Account takeover (ATO) fraud reached alarming levels in 2024, driven by an unrelenting wave of data breaches. Massive incidents, including the theft of every American’s Social Security number and over 2.9 billion stolen records, underscore the urgency of this escalating threat. From the Ticketmaster breach to AI-generated voice scams, these attacks are making it more […]
- [Beyond Transactions: Why the Full Consumer Journey is Critical for Effective Fraud Prevention](https://sift.com/blog/why-the-full-consumer-journey-is-critical-for-effective-fraud-prevention/): When Sift was founded in 2011, we were one of the first companies to apply AI to combat payment fraud. At the time, this was revolutionary—using machine learning, a subset of AI, to detect patterns that humans couldn’t see was a game-changer for digital businesses struggling with fraud. But over a decade later, I’m struck […]
- [Big Game Alert: Online Gambling Platforms Face Surge in Both Activity and Fraud Attempts](https://sift.com/blog/big-game-alert-online-gambling-platforms-surge-in-activity-and-fraud-attempts/): As the Philadelphia Eagles and Kansas City Chiefs prepare to face off in professional football’s biggest event, online gambling platforms are experiencing unprecedented levels of both legitimate activity and gambling fraud attempts. As the industry leader protecting nearly 90% of U.S. online gambling revenue, Sift has unique visibility into these rapidly evolving trends. Transaction—and Fraud—Volumes […]
- [Black Friday 2025 Fraud Trends: ATO Surges, High-Value Attacks, and What to Expect in 2026](https://sift.com/blog/black-friday-2025/): Black Friday and Cyber Monday 2025 delivered record consumer demand and, predictably, record risk. An estimated 202.9 million U.S. shoppers participated across the five-day holiday stretch, with U.S. Black Friday e-commerce sales reaching $11.8 billion and global spending climbing to $79 billion. As expected, fraud followed the money. Across the Sift Global Data Network, transaction […]
- [Black Friday Fraud & Account Takeover Surge Across Food & Delivery, Ticketing, E-Commerce](https://sift.com/blog/black-friday-fraud-account-takeover-surge-across-food-delivery-ticketing-e-commerce/): Annual spikes in consumer spend are tailed by increased digital risk and vulnerability. It’s tradition for fraud actors to target known periods of high transaction volumes and values, relying on these fluctuations to obscure payment fraud and account takeover attempts. True to form, Black Friday/Cyber Monday (BFCM) 2024 was ripe for risk: compared to 2023, […]
- [Black Lives Matter.](https://sift.com/blog/black-lives-matter/): Black lives matter. To need to say this reminds us of a foul, often ignored truth: Black lives haven’t mattered. The violence perpetrated against our Black community and perpetuated by silence, ignorance, and privilege isn’t a new problem. The past weeks’ events are yet another flashpoint of a human rights movement that began more than […]
- [Bonus Abuse Prevention in iGaming](https://sift.com/blog/bonus-abuse-prevention-igaming/): Promotional offers are one of the primary acquisition tools in iGaming. Welcome bonuses, free bet credits, no-deposit bonuses, and reload promotions attract new players and reactivate dormant ones. They are also the most directly exploited fraud target in the iGaming sector. Bonus abuse occurs when players, or coordinated fraud operations, exploit promotional offers in ways […]
- [Botpocalypse: Spammy Content and Phony Engagement Make Up the New Face of Social Media](https://sift.com/blog/botpocalypse-spammy-content-and-phony-engagement-make-up-the-new-face-of-social-media/): Sixty-nine percent of American adults use social media in some form. From Facebook to Instagram, Snapchat to YouTube, social media platforms connect family, friends, and strangers in a way that is unprecedented in the annals of human history. But with this exchanging of words, images, and ideas – oftentimes behind a pseudonym and an avatar […]
- [Brace Yourselves: Interns Are Coming](https://sift.com/blog/brace-yourselves-interns-are-coming/): Click-click-click-“doh!” It’s 7:23 pm at the office. During the day, this clacking can only be the repetition of fingers on keyboards. At night, however, the sound of coding mixes with the pop of a ping pong ball on paddles and the clatter of Super Smash Brothers controllers.While Sift Science is lucky enough to have interns (Sifterns) in our office year-round, summer is our season for the highest intern-to-full-timer ratio. It’s our favorite time of year.
- [Build vs. Buy: 5 Capabilities You Need in a Fraud Tool](https://sift.com/blog/build-v-buy-5-capabilities-you-need-in-a-fraud-tool/): When considering whether to build or buy your fraud prevention tools, there are a lot of criteria to assess. What is your in-house level of technical expertise? What are your time constraints? Would developing this technology be a core competitive advantage? And more… In our recent webinar, Building versus Buying: Understanding the Right time for […]
- [Building and Maintaining a Review Team](https://sift.com/blog/build-review-team/): As your approach to fraud management expands to a trust and safety mindset, you may find yourself hiring team members to investigate trends, communicate with customers, and ultimately review orders that require human intelligence to make decisions. What qualities make someone good at manual review, and how can you ensure your team’s performance stays consistent? The Qualities […]
- [Building End-to-End Fraud Solutions for Fintech](https://sift.com/blog/building-an-end-to-end-digital-trust-safety-solution-for-fintech/): Discover trends in fintech fraud and how to implement a comprehensive solution that accounts for the entire user journey.
- [Business guide to payment fraud prevention](https://sift.com/blog/business-guide-to-payment-fraud-prevention/): Discover essential payment fraud prevention strategies to safeguard your business and customers. Learn how to protect your revenue and reputation.
- [Business Guide to Payment Fraud Prevention](https://sift.com/blog/guide-to-payment-fraud-prevention/): Embracing payment fraud prevention fosters financial resilience and safeguards your company’s reputation. Nearly half of consumers surveyed by Sift (49%) have fallen victim to payment fraud over the past 1–3 years, with 41% of those in the last year. Of those victims, 77% had unauthorised purchases using the consumer’s payment information stored on a website […]
- [Calculating the Cost of Account Takeover](https://sift.com/blog/cost-of-account-takeover/): Account takeover (ATO) is a growing threat faced by online businesses across industries – from social networks and e-commerce merchants to SaaS and professional services. But not every company even realizes ATO is a looming threat. Besides counting your company lucky for not making headlines, how do you measure whether ATO is a problem for your […]
- [Celebrating Digital Trust With Our Customers](https://sift.com/blog/celebrating-digital-trust/): Last week, we unveiled the Sift Science Digital Trust Platform, a holistic way for online businesses to maximize their revenue while protecting themselves and their users from abuse. As part of this launch, we wanted to celebrate those who inspired and contributed to our journey as a digital trust company: our customers. During the day, we hosted […]
- [Chargeback Accounting: How to Record Disputes](https://sift.com/blog/chargeback-accounting-how-to-record-disputes/): Proper dispute management is necessary for retaining hard-earned revenue. A vital part of dispute management is understanding the impact of disputes on your company, which is where proper bookkeeping comes in. What is a dispute or chargeback? A dispute or chargeback is a transaction reversal meant to serve as a form of consumer protection from fraudulent activity […]
- [Chargeback Pre-Arbitration and Arbitration](https://sift.com/blog/chargeback-arbitration/): A chargeback has a complex and murky process. But it can lead to what is called pre-arbitration. Think of it as the ghost of a second chargeback—it emerges after the original chargeback and makes another attempt to steal your revenue. Its outcome depends on the dispute and the outcome of the original chargeback. If the […]
- [Chargeback Response Templates](https://sift.com/blog/chargeback-response-templates/): How to create an effective chargeback response. A customer disputed a transaction, and now you have a chargeback to deal with. Do you know where to start? Between specific evidence, digging around in card network documents, or even just starting to draft a document can all seem like overwhelming tasks. This article will break down […]
- [Chargeback vs. Refund: How Do You Prevent Chargebacks and Refund Fraud?](https://sift.com/blog/chargeback-vs-refund-how-do-you-prevent-chargebacks-and-refund-fraud/): The world of online shopping has put convenient purchases a finger tap away, but it’s also created new challenges for businesses. 17.6% of all products ordered online end up being returned. That translates to $247 billion in merchandise having to be sent back and processed. This surge in returns hurts e-commerce businesses, particularly when it […]
- [Chargeback vs. Refund: How Do You Prevent Chargebacks and Refund Fraud?](https://sift.com/blog/chargeback-vs-refund-how-to-prevent-chargebacks-and-refund-fraud/): The convenience of online shopping has transformed consumer behaviour in the UK, but it has also introduced new challenges for businesses. Notably, the rise in product returns and chargebacks has significant implications for retailers. To protect your business’s reputation, reduce costs, and prevent financial losses, it pays to understand the key differences between handling chargebacks […]
- [Choosing the right fraud prevention solution for your business](https://sift.com/blog/choosing-the-right-fraud-prevention-solution-for-your-business/): The billion-dollar fraud economy continues to prosper, leaving no industry or business untouched. Blindspots make businesses more vulnerable than ever, and businesses must anticipate and proactively address them to succeed. The most effective way to outsmart fraud requires a holistic fraud prevention solution. Discover how to identify the right fraud prevention solution for your business […]
- [Closing the Gap Between Fraud and Security](https://sift.com/blog/closing-the-gap-between-fraud-and-security/): Part 3: An Operating Model for What Happens After the Login Shared accountability, shared telemetry, shared decisioning, shared playbooks, shared metrics. Five parts, and no reorg required on day one. If you’re joining here, a quick recap. Part 1 argued that account takeover (ATO) is a security failure and a fraud event at the same […]
- [Comprehensive Fraud Detection Solutions](https://sift.com/blog/fraud-detection-solutions/): A variety of companies offer some form of a comprehensive risk engine for predicting which transactions and users are riskier. Here we’ll discuss some of the methods used for these engines—and the strengths and limitations associated with each. Boolean Rules-Based Systems “Boolean” means that the result will be either “true” or “false.” So a Boolean […]
- [Confessions of a Fraud Analyst – Part 2](https://sift.com/blog/confessions-fraud-analyst-pt-2/): To succeed as a fraud analyst, you’ve got to be part Sherlock Holmes, part diplomat, and part Jedi. You’ve got to have a sharp mind and nerves of steel. When everything goes well, your company can win big. But when things go wrong…well, at least you’ll have a great story to tell! We asked some […]
- [Connect with fraud experts worldwide in the new Sifters customer community](https://sift.com/blog/sifters-community-announcement/): The battle against fraud is ongoing—it can’t, and shouldn’t, be fought alone. As online abuse evolves, outpacing attacks at scale requires access to experts, accurate data, comprehensive tools, and above all, community.  Our new customer community, Sifters, is now open to all Sift users, connecting our digital network of merchants and data with our invaluable […]
- [Consumer-friendly Crypto: Adapting your business for alternative payments](https://sift.com/blog/consumer-friendly-crypto-adapting-your-business-for-alternative-payments/): Industry experts from Checkout.com, Sift, and Visa share predictions for the future of cryptocurrency and how to safely and securely accept crypto as a payment type.
- [Contacting Cardholders](https://sift.com/blog/contacting-cardholders/): As you review orders for potential fraud, the following insights can help you figure out when it’s time to speak directly to the cardholder. When is it Worthwhile? First, consider whether it’s worth the time to call at all. Researching contact information and calling the customer—sometimes more than once—adds a significant amount of time to […]
- [Content Moderation Best Practices: Q&A with Kevin Lee and Jeff Sakasegawa](https://sift.com/blog/content-moderation-kevin-lee-jeff-sakasegawa/): User-generated content is the lifeblood of online marketplaces and communities. But it can also be a powerful tool in the hands of fraudsters. Content moderators must act quickly and decisively to stop the spread of abusive content. If they don’t, they risk serious damage to a company’s brand and bottom line. Trust and safety architects […]
- [Cryptocurrencies: New Fraud Problems or Solutions?](https://sift.com/blog/cryptocurrencies-new-fraud-problems-solutions/): Since bitcoin and the blockchain popped up nearly ten years ago, cryptocurrencies have experienced a startling evolution: from a fringe investment to a mainstream medium of exchange. Enterprising fraudsters have been following this evolution closely. In the first two months of this year, cryptocurrency fraud resulted in losses of $9 million a day. People who […]
- [Culture Spotlight: Fireside Chat with Minnie Ingersoll, COO, Code for America](https://sift.com/blog/culture-spotlight-fireside-chat-with-minnie-ingersoll-coo-code-for-america/): Sift Science loves to invite individuals knee-deep in the world of technology to spend some time talking with us in what we call our Fireside Chats. On March 14, we had the pleasure of welcoming Minnie Ingersoll, COO of Code for America, to our San Francisco office to discuss her transition from the for-profit to […]
- [Culture Spotlight: Giving Back to the Community Through Sift Cares](https://sift.com/blog/culture-spotlight-giving-back-community-sift-cares/): Sift Science is making the internet a safer place, but that doesn’t mean we can’t also contribute to bettering the lives of people in the communities where we live and work.   We Sifties are all very lucky to work at Sift Science and to call San Francisco and Seattle “home.” Knowing that, we wanted […]
- [Custom Workflows to Match Your Business](https://sift.com/blog/custom-workflows-to-match-your-business/): Our customers range from on-demand services like Instacart to online retailers like JackThreads to small stores using platforms like Shopify.Each of our customers is unique not only in the way that fraud affects them, but also in the way fraud teams work through manual reviews of suspicious orders and users. Many of our customers prefer to review just their most recent orders while others prefer to focus on orders with high order values or have mismatches between shipping and billing addresses.
- [Cyber Fraud Fusion: Improving Security & Reducing ATO](https://sift.com/blog/cyber-fraud-fusion-improving-security-reducing-ato/): Is account takeover (ATO) fraud hurting your bottom line? This form of cybercrime resulted in nearly $13 billion in losses in 2023. ATO attacks and other fraudulent activity pose a growing threat to any company doing business online. However, companies trying to protect themselves face an uphill battle. Highly qualified security experts are in short […]
- [Cybersecurity Has a Fraud Problem](https://sift.com/blog/cybersecurity-has-a-fraud-problem/): Part 1: The Gap Nobody Owns Account takeover is a security failure and a fraud event at the same time. Most companies are organized so that neither team owns it. Attackers exploit exactly that gap. Security and fraud teams have spent a decade defending the same customers from opposite ends of the same attack and […]
- [Data Breaches and Democracy: How Content Abuse May Threaten Freedom of Speech](https://sift.com/blog/data-breaches-democracy-content-abuse/): The internet has sparked a revolution in the way we interact with each other socially, economically – and politically. Elections are won and lost based on the strength of candidates’ social media campaigns or the verbosity of their online supporters. The role of sites like Facebook and Twitter in politics, to say nothing of online […]
- [Data Breaches: Why the Battle Is Just Beginning for Online Businesses](https://sift.com/blog/data-breaches-why-the-battle-is-just-beginning-for-online-businesses/): The effects of data breaches are even more widespread than you may think. Learn how to fight the fallout of a large breach and protect your business.
- [Dealing With Account Takeovers](https://sift.com/blog/dealing-with-account-takeovers/): For most businesses with an online presence, the primary risk comes from fraudsters creating accounts and then using them for no good. What about cases where a legitimate user creates an account, and someone else later gains access to it and uses it for fraud? This is referred to as an account takeover. Be Careful With […]
- [Deep web vs. dark web: Key insights for businesses](https://sift.com/blog/deep-web-vs-dark-web-what-businesses-should-know-about-both/): The everyday internet presents a variety of risks for businesses and consumers. Identity theft and unauthorized purchases incite the greatest concern, but they aren’t the only—or even most expensive—types of fraud that impact online commerce. And while the dark web consists of websites that can’t be accessed via normal browsers, it remains a popular source […]
- [Device ID and IP Address Analysis](https://sift.com/blog/device-ip-analysis/): Information from a customer’s computer, mobile device, and internet connection can help to separate trusted behaviors from suspicious. Ways to Tell One Device From the Next The ability to uniquely identify a specific device can prove advantageous in the fight against fraud. On one hand, if for the past two months loyal customer goodguy@gmail.com consistently […]
- [Different Types of Online Gambling Fraud](https://sift.com/blog/online-gambling-fraud-types-trends/): As sports betting legalization has expanded across the world and iGaming platforms have moved into new regulated markets, the fraud economy targeting operators has grown in parallel. And it’s easy to see why: the global online gambling market is steadily growing to a valued $140 billion annually, making it an incredibly lucrative fraud market. In […]
- [Digital Trust & Safety Roundup: Account security, fraud-as-a-service, and food delivery scams](https://sift.com/blog/digital-trust-safety-roundup-account-security-fraud-as-a-service-and-food-delivery-scams/): Discover the latest news on digital fraud from Sift’s Trust and Safety Architects.
- [Digital Trust & Safety Roundup: AI scams, a career in trust and safety, and industry recognition](https://sift.com/blog/ai-scams-a-career-in-trust-and-safety-and-industry-recognition/): Learn key insights on the role of AI in fueling and fighting fraud, get a look into the role of one of our Trust and Safety Architects, and see Sift’s recent industry recognition.
- [Digital Trust & Safety Roundup: Crypto scams, policy abuse, and deep web dangers](https://sift.com/blog/digital-trust-safety-roundup-crypto-scams-policy-abuse-and-deep-web-dangers/): Read about the latest scam trends, preventing policy abuse, and the dangers that lurk on the deep web.
- [Digital Trust & Safety Roundup: Economic uncertainty, fintech fraud, and crypto cons](https://sift.com/blog/digital-trust-safety-roundup-economic-uncertainty-fintech-fraud-and-crypto-cons/): Discover why fintech and crypto fraud is increasing and how to prepare your fraud prevention strategy for economic uncertainty.
- [Digital Trust & Safety Roundup: Highlights from MPE Berlin, spotting scams, fighting first-party fraud, and Sift’s new customer community](https://sift.com/blog/digital-trust-safety-roundup-highlights-from-mpe-berlin-spotting-scams/): Explore the latest news from Sift, including Visa’s updated rules for merchants, and Sift’s new customer community.
- [Digital Trust & Safety Roundup: How to navigate economic disruption and ensure consumer protection](https://sift.com/blog/digital-trust-safety-roundup-how-to-navigate-economic-disruption-and-ensure-consumer-protection/): Discover the impact of global economic disruption on fraud and fraud prevention, and the growing ATO threat during the holidays.
- [Digital Trust & Safety Roundup: NFTs, romance scams, and content abuse](https://sift.com/blog/digital-trust-safety-roundup-nfts-and-content-abuse/): Discover the latest news on NFTs, gaming fraud, and content abuse from Sift’s Trust and Safety Architects in our Digital Trust & Safety Roundup.
- [Digital Trust & Safety Roundup: Rising ATO, new product updates, and Sift recognition](https://sift.com/blog/digital-trust-safety-roundup-rising-ato-new-product-updates-and-sift-recognition/): Explore the newest ATO data from Sift’s Q3 Digital Trust & Safety Index, learn about Sift’s latest product integrations and upgrades, and read about the company’s recent awards and recognition.
- [Digital Trust & Safety Roundup: Surging travel fraud, content abuse, and ATO](https://sift.com/blog/digital-trust-safety-roundup-surging-travel-fraud-content-abuse-and-ato/): Discover the latest news on travel fraud, content abuse, and ATO from Sift’s Trust and Safety Architects.
- [Digital Trust & Safety: 5 Reasons Why Now is the Time for Adoption](https://sift.com/blog/digital-trust-safety-5-reasons-why-now-is-the-time-for-adoption/): As consumer expectations for instant and exceptional customer experiences continue to grow rapidly, any added friction that e-commerce companies introduce can impact conversion rates, and therefore limit revenue growth. At the same time, establishing user trust is also mission critical for businesses. Sift recently conducted a survey of 2,000 consumers in the United States ages […]
- [Digital Trust & Safety: Unlock new revenue without risk](https://sift.com/blog/digital-trust-safety-unlock-new-revenue-without-risk/): We strongly believe that good fraud prevention should never block revenue growth. In fact, with the right approach, fraud prevention can be a revenue driver. That’s why feedback from our recent survey caught our attention: while 77% of companies prioritize delivering a frictionless experience, nearly the same amount say that fraud prevention measures keep them […]
- [Digital Trust & Safety Roundup: AI-fueled fraud, Sift’s newest Trust and Safety Architect, and a recap of TrustCon 2023](https://sift.com/blog/ai-fueled-fraud-sifts-newest-trust-and-safety-architect-and-a-recap-of-trustcon-2023/): Learn about AI-fueled fraud, meet our newest Trust and Safety Architect, and read about our key takeaways from TrustCon 2023.
- [Digital Trust & Safety Roundup: ATO surges and BNPL fraud on the rise this holiday season](https://sift.com/blog/digital-trust-safety-roundup-ato-surges-and-bnpl-fraud-on-the-rise-this-holiday-season/): Discover the fraud trends that emerged this holiday season and how ATO continues to threaten consumers and businesses.
- [Digital Trust & Safety Roundup: Costly chargebacks, dynamically fighting ATO, and social media scam risks](https://sift.com/blog/digital-trust-safety-roundup-costly-chargebacks-dynamically-fighting-ato-and-social-media-scam-risks/): Explore the cost of rising chargebacks, strategies for fighting ATO, and how new social media features may fuel scams.
- [Digital Trust & Safety Roundup: Forrester fraud insights, the rise of ‘fraud influencers,’ and the launch of FIBR](https://sift.com/blog/digital-trust-safety-roundup-forrester-fraud-insights-the-rise-of-fraud-influencers-and-the-launch-of-fibr/): Learn about our live session with Forrester, our insights on iGaming from SiGMA Malta, and Sift’s newest resource, FIBR.
- [Digital Trust & Safety Roundup: Holiday fraud threats, recession-era fraudsters, and crypto under fire](https://sift.com/blog/digital-trust-safety-roundup-holiday-fraud-threats-recession-era-fraudsters-and-crypto-under-fire/): Sift experts discuss the fraud threats during an economically uncertain holiday season and crypto’s consumer trust problem.
- [Digital Trust & Safety Roundup: New data, product news, and G2 awards](https://sift.com/blog/digital-trust-safety-roundup-new-data-product-news-and-g2-awards/): Explore data from our newest quarterly Digital Trust & Safety Index report, learn about our latest product enhancements and company recognition by G2, and discover the role of a Trust and Safety Architect.
- [Digital Trust & Safety Roundup: New product features, insights from Sift’s CMO, and lessons from digital native companies](https://sift.com/blog/digital-trust-amp-safety-roundup-new-product-features-insights-from-sifts-cmo/): Explore the latest news from Sift, including new product features, an interview with Sift CMO, and fraud lessons from digital native companies.
- [Digital Trust & Safety Roundup: Payment fraud targets fintech, fraud industry insights, and Sift’s newest product enhancements](https://sift.com/blog/digital-trust-safety-roundup-payment-fraud-targets-fintech/): Explore findings from Sift’s Digital Trust & Safety Index on payment fraud, read takeaways from MRC Vegas, and learn about Sift’s spring product release.
- [Digital Trust & Safety Roundup: Protecting fintech at Money20/20, the truth about AI and fraud, industry awards, and the latest product news](https://sift.com/blog/digital-trust-safety-roundup-money2020/): Explore Sift’s recap of Money20/20, the latest product news, industry recognition, and perspectives on fraud and AI.
- [Digital Trust & Safety Roundup: The rise of friendly fraud and how to choose the right fraud prevention solution](https://sift.com/blog/the-rise-of-friendly-fraud-and-how-to-choose-the-right-fraud-prevention-solution/): Explore the newest chargeback data from Sift and key takeaways from Gartner’s latest online fraud prevention market guide.
- [Discover Sift’s latest fraud data, insights from Money20/20, and G2 awards](https://sift.com/blog/sifts-latest-fraud-data-insights-from-money20-20-and-g2-awards/): Stay up to date with the latest news from Sift, including key insights from its Q2 2023 Digital Trust & Safety Index. Read the blog to learn more.
- [Dispute analyst job description](https://sift.com/blog/dispute-analyst-job-description-role/): Learn the role a dispute analyst should play and attract the right candidates with the right job description.
- [E-Commerce Fraud in Europe: Key Trends and Mitigation Strategies for 2025](https://sift.com/blog/e-commerce-fraud-in-europe-key-trends-and-mitigation-strategies-for-2025/): As online commerce becomes faster and more seamless, fraud is adapting just as quickly. In 2025, merchants across Europe face a highly dynamic threat environment, ranging from opportunistic refund abuse to highly coordinated real-time payment (RTP) scams. While innovation has driven frictionless consumer experiences, it’s also lowered the barriers for fraudsters. The scale of the […]
- [E-Commerce Fraud Prevention: Everything You Need to Know to Protect Your Business](https://sift.com/blog/prevent-ecommerce-fraud-automation/): Discover how Sift Digital Trust & Safety helps businesses prevent e-commerce fraud at scale using real-time machine learning and automation.
- [E-commerce fraud: where it hurts](https://sift.com/blog/e-commerce-fraud-where-it-hurts/): Here at Sift Science, we make powerful fraud detection software available to companies of all sizes. Fraud can mean many things and impact many different parts of these organizations. As noted in our post on global fraud, we detect three main kinds of e-commerce fraud (plus other specialized kinds): payment fraud, new account fraud and account takeover. Below, we’ll take a closer look at each type and whom within a company they hurt.
- [E-Commerce Payment Fraud: What It Is and How to Stop It](https://sift.com/blog/e-commerce-payment-fraud-what-it-is/): In a study conducted by Business Wire, it was estimated that businesses lose as much as $448 billion annually from payment fraud, refund abuse, and false declines. Payment fraud is among the highest-cost threats that digital retailers face, and becomes a major issue if left unaddressed. Because of this, understanding payment fraud and how to […]
- [Ecommerce Fraud Prevention for Retail Brands](https://sift.com/blog/ecommerce-fraud-prevention/): Digital commerce brands lost an estimated $48 billion to fraud in 2025, and refund and policy abuse just displaced payment fraud as the top threat merchants report, according to the Merchant Risk Council’s 2026 Global eCommerce Payments & Fraud Report.  For every dollar of confirmed fraud, U.S. merchants now absorb $5.13 in total cost once […]
- [Economic Shifts are Reshaping Marketplaces—and Fraudsters are Paying Attention](https://sift.com/blog/economic-shifts-are-reshaping-marketplaces-and-fraudsters-are-paying-attention/): When economic pressure builds, digital behavior changes. Commerce marketplaces feel this first. Whether it’s inflation driving more buyers to secondhand goods, rising unemployment fueling scam job listings, or shifts in global trade causing supply instability, marketplaces absorb the turbulence. So do their fraud teams: for every new opportunity born from disruption, there’s a bad actor […]
- [Embracing the Future of Online Fraud Detection: Gartner® Recommendations for Cyber-Fraud Fusion](https://sift.com/blog/embracing-the-future-of-online-fraud-detection-gartner-recommendations-for-cyber-fraud-fusion/): The future of online fraud detection lies in the fusion of cybersecurity and fraud prevention. This merging of markets is expected to revolutionize the way companies combat fraud, meaning product leaders must adapt and innovate in order to stay ahead of the curve and protected from sophisticated online threats.  The Emerging Tech: Security — Cyber-Fraud […]
- [Expanded FIBR Data is Now Exclusively Available to the Sifters Customer Community](https://sift.com/blog/expanded-fibr-data-exclusively-available-for-sifters-customer-community/): Creating a good consumer experience is crucial for revenue growth. Not prioritizing secure and streamlined experiences can cost organizations 6.7% of their revenue and put $3.1 trillion in annual global consumer spending in jeopardy.  The key to better consumer experiences is in the data. Having access to new insights provides deeper visibility into the digital […]
- [Expanding FIBR with Account Takeover and Two-Factor Authentication Trend Data](https://sift.com/blog/expanding-fibr-with-account-takeover-and-two-factor-authentication-trend-data/): Staying ahead of emerging fraud patterns is paramount to building and maintaining a successful business. But the process of benchmarking for critical key performance indicators (KPIs) can’t be done in a vacuum. That’s why we’re expanding Sift’s Fraud Industry Benchmarking Resource (FIBR) with two new metrics. These timely additions provide deeper visibility into the scope […]
- [Exploring Refund Fraud by Industry](https://sift.com/blog/exploring-refund-fraud-by-industry/): Selling products and services to customers exposes businesses to the risks of refund fraud. With the rapid growth of e-commerce and the adoption of more flexible return policies, companies across various industries are now vulnerable to this threat. In 2023, 13.7% of returns were fraudulent, which equates to losses of $101 billion. Combating this challenge […]
- [Exploring Refund Fraud by Industry (2025)](https://sift.com/blog/exploring-refund-fraud-by-industry-2025/): Selling products and services to customers exposes businesses to the risks of refund fraud. With the rapid growth of e-commerce and the adoption of more flexible return policies, companies across various industries are now vulnerable to this threat. Refund fraud is a significant and growing concern for UK businesses, particularly with the surge in online […]
- [Fake Account Detection: Signals That Expose Fraudulent Signups](https://sift.com/blog/fake-account-detection-signals/): Every fraud scheme begins with an account that should never have been created. For marketplaces and B2B/B2C SaaS platforms with self-serve signup and free trials, registration is the widest open door in the product, and fake account detection is the discipline of closing it without turning away real customers. Why fake account creation is accelerating […]
- [Fake Listings Fraud On Commerce Marketplaces](https://sift.com/blog/fake-listings-fraud-on-commerce-marketplaces/): A study conducted by Public Interest Network found that a staggering 61% of survey respondents have accidentally purchased counterfeit products at least once. This shows just how huge of an issue fraud has become on commerce marketplaces. Fake listings fraud occurs when fraudsters create marketplace listings for products they don’t intend to deliver, deliver in […]
- [Fake Reviews Are a Fast-Growing Fraud Concern That Leads to Brand Abandonment](https://sift.com/blog/fake-reviews-are-a-fast-growing-fraud-concern/): Today’s headlines are plagued with data breaches and fraud attempts, but fraud goes far beyond stealing identities and payment information. We recently polled 1,000 U.S. consumers to explore their experiences, behaviors, and perceptions relating to fake reviews.
- [Fake Reviews: It’s Prime Time for Fraudsters](https://sift.com/blog/fake-reviews-its-prime-time-for-fraudsters/): In the e-commerce aftermath of Prime Day 2019, some consumers may be suffering from buyer’s remorse, wondering whether they were duped into purchasing seemingly stellar products by fake reviews. If this sounds familiar, you are not alone. For context, fake or inauthentic reviews are online reviews submitted by shoppers who never actually purchased the product […]
- [Fall 2019 Release: Sophisticated Protection](https://sift.com/blog/fall-2019-release-sophisticated-protection-2/): We're adding to our robust features that improve the user experience, protect against fraud, and simplify operations.
- [Fall 2020 Release: Transformative Power](https://sift.com/blog/fall-2020-release/): Discover new Sift fraud-fighting feature releases, including chargeback ingestion, enhanced reporting, text clustering, and more!
- [Fall 2021 Sift Product Release: Simply intelligent fraud prevention](https://sift.com/blog/fall-2021-sift-product-release/): In our Fall 2021 Product Release, we’re excited to launch new components that simplify Sift’s deployment and administration.
- [Fast Food Fraud: Why Quick Service Restaurants Can’t Slow Down on Trust and Safety](https://sift.com/blog/faster-food-fraud-why-qsrs-cant-slow-down/): Consumers love quick-service restaurants (QSRs) but they hate fraud. Are the fast food chains we love prepared? Read our new research to find out.
- [Feeble-Minded Fraudsters: A Fraud-o-graphic](https://sift.com/blog/feeble-minded-fraudsters/): Think you’ve seen the world’s dumbest criminals? You ain’t seen nothing yet!Introducing the Sift Science Fraud-o-graphic, where we highlight some of the simplest ways to ID bad users. Online fraudsters can be just as feeble-minded as as those robbers that live-tweet their heists and thieves that leave behind their own drivers licenses.  Hundreds of newly hatched accounts on your site created on a single device? Chances are good it’s fraud. More than a family-sized number of users with a single billing address using your app? Hmm, sounds fishy. Old-school fraudsters have a hard time fooling the state-of-the-art systems that companies have in place to stop fraud. Need a good “no, duh” or face-palm moment? Check out the fraud-o-graphic!
- [Fight Fraud Frugally with Sift](https://sift.com/blog/prevent-ecommerce-fraud-frugally/): At Sift Science, we’re developing an advanced machine learning system that is revolutionizing how e-commerce businesses protect themselves from cybercrime. We believe that all merchants should have access to the same class of technology used by Google and Amazon to prevent e-commerce fraud.
- [Fighting fraud in travel: Top challenges](https://sift.com/blog/travel-fraud-challenges/): Let’s look at some of the obstacles faced by modern travel companies that are dealing with fraud and abuse. Rising competition, small margins The overall volume is increasing across different travel products, but many companies are facing a small margin – particularly in the airline and OTA sectors. High ticket value, with a low margin, […]
- [Five fraud solution mistakes: what to look for](https://sift.com/blog/five-fraud-solution-oversights-that-gut-business-growth/): Sustaining secure growth isn’t solely about chasing revenue. It takes building and maintaining a competitive edge by delivering consistent value. It requires that both speed and accuracy be a priority across the customer journey. It also means integrating real user data and real-time feedback into every workstream.  But too often, businesses rely on fraud solutions […]
- [Food & Delivery Fraud: Benchmarking Risk and Tracking Trends](https://sift.com/blog/food-delivery-fraud-benchmarking-risk-and-tracking-trends/): Digital food and delivery businesses experience continuous growth and change, and with that comes a side of surging fraud threatening profits and customer trust. Stolen credentials, fake accounts, refund and policy abuse—fraudsters see these opportunities rise in tandem with the speed, scale, and proliferation of quick-service restaurants (QSRs) and delivery platforms.  The challenge for providers […]
- [Fraud and identity veteran Armen Najarian on joining Sift as CMO](https://sift.com/blog/armen-najarian-joins-sift-as-cmo/): Opportunity exists at the intersection of smart decisions and good timing. Over the past two decades, I’ve seen chances taken and the improbable achieved in cybersecurity, digital identity, and fraud prevention—people solving systemic problems that improve the digital experience for everyone, making it more enjoyable and secure to transact online. It’s a space that I […]
- [Fraud at the Quarter Century: 2024 Trends and Predictions for 2025](https://sift.com/blog/fraud-at-the-quarter-century-2024-trends-and-predictions-for-2025/): As we pass the quarter century mark into 2025, we have access to more data than ever before on consumer spending habits and fraud trends. Using the 2024 MRC Global Survey, Sift’s Fraud Industry Benchmarking Resource (FIBR), and newsworthy stories, Julie Fergerson, CEO of MRC, and Brittany Allen, Senior Trust and Safety Architect at Sift, […]
- [Fraud Benchmarking at Customers’ Fingertips: FIBR In-Console](https://sift.com/blog/fibr-in-console/): Fraud benchmarking can be elusive for fraud and risk teams. They might not know what metrics to track or how to track them, or the context surrounding the data may not be clear. Sift has been at the forefront of solving this challenge with its Fraud Industry Benchmarking Resource—providing publicly accessible fraud insights to businesses […]
- [Fraud fighters’ guide to handling suspicious logins](https://sift.com/blog/handling-suspicious-logins/): Account takeover leads to a number of negative downstream effects – from financial loss to customer churn to overall brand damage. There are many things a business can do to respond to an ATO attack, but at that point, it’s already too late and you may have lost users’ trust. So what can you do […]
- [Fraud Filters](https://sift.com/blog/fraud-filters/): Fraud filters are tools you can add to your e-commerce website to prevent potentially fraudulent orders from processing in your online store. Fraud filters can either warn you of a potentially fraudulent transaction or cancel an order entirely. How fraud filters can stop fraudsters from making fraudulent purchases in your store Imagine you could automatically […]
- [Fraud Prevention for QSRs: Securing customer loyalty with Digital Trust & Safety](https://sift.com/blog/fraud-prevention-for-qsrs-securing-customer-loyalty-with-digital-trust-safety/): The quick-service restaurant (QSR) industry exploded with a decade’s worth of digital acceleration and rapid growth over the past 18 months. As disruption caused by the pandemic led merchants worldwide to reimagine the dining and delivery experience, many QSRs struggled to manage surging online order volumes, unanticipated demand for delivery, and rising online fraud—often without […]
- [Fraud Protection for Commerce Marketplaces and P2P Platforms](https://sift.com/blog/fraud-protection-commerce-marketplaces/): Two-sided platforms carry a much heavier fraud burden compared to single-sided retailers. Every buyer, seller, renter, and payer is a potential attack surface, and one bad actor can hit both sides of a transaction at once. For commerce marketplaces and peer-to-peer (P2P) platforms, fraud protection functions as trust infrastructure, determining whether people keep transacting on […]
- [Fraud Rings, ATO Patterns, and Payment Fraud Benchmarks](https://sift.com/blog/the-connected-threat-fraud-rings-ato-patterns-and-payment-fraud-benchmarks/): Fraud rarely shows up as a single flagged transaction. It shows up as a pattern, one that’s often invisible to any single business but obvious once you can see across a network. That was the throughline of Sift’s recent webinar unpacking the Q2 2026 Digital Trust Index, featuring Brent Sleeper, Senior Product Marketing Manager, and […]
- [Fraud schemes explained: Proxy Phantom, Pig Butchering, and Crypto Cashout](https://sift.com/blog/fraud-schemes-explained-proxy-phantom-pig-butchering-and-crypto-cashout/): Discover the latest fraud schemes and learn best practices to protect your business and customers from evolving threats.
- [Fraud Score: How AI Calculates Transaction Risk in Real Time](https://sift.com/blog/fraud-score-how-ai-calculates-transaction-risk-in-real-time/): Global payment fraud losses reached $48.2 billion in 2024, making real-time fraud detection more critical than ever. Behind each “approved” or “declined” decision lies a sophisticated artificial intelligence system calculating risk in milliseconds. The fraud score has revolutionized transaction security, providing nuanced risk assessment that balances protection with seamless user experience. Unlike traditional systems that […]
- [Fraudsters are Feasting on Popular Messaging App](https://sift.com/blog/telegram-fraud/): Learn more about the new fraud scheme Sift Trust and Safety Architects uncovered on the popular messaging app, Telegram.
- [From Data to Action: Chargeback Trends and Fraud Strategies for 2025](https://sift.com/blog/from-data-to-action-chargeback-trends-and-fraud-strategies-for-2025/): As online spending continues to grow, so does the prevalence of disputes and chargebacks. First-party fraud and true fraud chargebacks took some unexpected turns in 2024, impacting various industries in unique ways.  Alexander Hall, Trust and Safety Architect at Sift and Luís Felipe Tomazini, Payments Risk Analytics Manager at Coinbase hosted an insightful webinar discussing […]
- [From Fraud Actor to Fraud Fighter: Meet Alexander Hall, Sift’s Newest Trust and Safety Architect](https://sift.com/blog/alexander-hall-trust-safety-architect/): When it comes to fraud prevention, few people understand the intricacies better than those who once operated on the other side. Alexander’s journey from a notorious fraudster to a champion of online security is as compelling as it is instructive. Now, as Sift’s newest Trust and Safety Architect (TASA), Alexander brings a unique perspective to […]
- [Gartner Report: The Convergence of Online Fraud Prevention, Identity, and Cybersecurity](https://sift.com/blog/gartner-report-the-convergence-of-online-fraud-prevention-identity-and-cybersecurity/): Are you prepared for the future of online fraud prevention? Gartner® has released its Emerging Tech: The Future of Online Fraud Prevention report, offering a critical roadmap for companies navigating the new era of identity-centric risk and cyber-fraud convergence.  Gartner experts’ insights reveal how forward-thinking organizations are shifting strategies, combining traditionally siloed fraud, cybersecurity, and […]
- [GDPR Was Only the Beginning for Compliance](https://sift.com/blog/gdpr-compliance-future/): By now, you’re more familiar with GDPR than you ever wanted to be – whether it’s because of the countless emails about updated privacy policies that are still sitting in your inbox, or because your business had to do some updating and emailing too. GDPR is the European Union’s General Data Protection Regulation, which started on May 25th of […]
- [Get the Fraud Out: How Sift Helps Businesses Stop Fraud Before It Hits Revenue](https://sift.com/blog/how-sift-helps-businesses-get-the-fraud-out/): Fraud creates operational pain and cuts directly into revenue. It shows up in lost transactions, rising chargebacks, more manual work, and more friction for legitimate customers. In 2025, U.S. companies lost an average of 3.3% of annual revenue to fraud, and 84% of those losses affected revenue directly or indirectly. That’s budget that could have […]
- [Get to know Rebecca Alter, Sift Trust and Safety Architect](https://sift.com/blog/get-to-know-rebecca-alter-sift-trust-and-safety-architect/): Trust and safety isn’t linear. The diversity of online fraud and its rapid evolution create unexpected challenges every day, bringing unseen vulnerabilities to light and leaving businesses exposed to risks they don’t even realize they should be ready for.  Sift’s newest Trust and Safety Architect, Rebecca Alter, knows a thing or two about hidden risk […]
- [Getting Sift Done at Money20/20 USA in Las Vegas](https://sift.com/blog/getting-sift-done-at-money20-20-usa-in-las-vegas/): CEO Kris Nagel on this year’s Money20/20 USA and what it means to Get Sift Done.
- [Getting Started With Manual Review](https://sift.com/blog/getting-started-with-manual-review/): Whether you’re assessing orders before fulfillment or reviewing orders post-acceptance/rejection decision, follow these best practices when performing manual review of transactions. Why Review Transactions at All? Before getting started on specifics, let’s ask: What’s the point of manual review? If you have fraud tools in place, why have a human being look at transactions at […]
- [Getting to value faster with Digital Trust & Safety](https://sift.com/blog/getting-to-value-faster-with-digital-trust-safety/): Every business has the opportunity to be successful with enough time—and that’s exactly what most businesses don’t have. Being a categorical leader in any corner of digital solutions or services hinges on two major deliverables: being able to quickly solve complex problems at scale, and translating how you’re solving those challenges to customers.  Leading online […]
- [Growing AI-powered fraud highlights the need for advanced fraud detection](https://sift.com/blog/growing-ai-powered-fraud-highlights-the-need-for-advanced-fraud-detection/): Discover how fraudsters exploit AI to conduct sophisticated scams and how businesses can stay safe with advanced fraud detection.
- [Guide to Chargeback Reason Codes](https://sift.com/blog/chargeback-reason-codes/): Your comprehensive guide to chargeback reason codes, transaction modifiers, time limits, and compelling evidence for the four major card brands.
- [HIJACKED!](https://sift.com/blog/hijacked/): Did you know that American Express and Discover cards together make up 35% of U.S. credit card purchase volume? That’s a sizable chunk of the economy that many American individuals and business rely on. Even more concerning, perhaps, is a recent uptick in credit card hijackings that target these two providers.
- [How 2018 Changed the Face of Fraud](https://sift.com/blog/gdpr-content-databreach-2018-fraud-roundup/): 2018 has seen dramatic changes in how businesses approach trust & safety: everything from compliance to data breaches to content abuse. As you’re tying up this year’s loose ends and prepping for next year, it’s worth revisiting what we learned (and didn’t!) this past year. So, let’s recap! 1. Businesses can no longer procrastinate on data […]
- [How AI Is Fueling Online Fraud in 2025 and What Businesses Can Do About It](https://sift.com/blog/how-ai-is-fueling-online-fraud-in-2025-and-what-businesses-can-do-about-it/): AI-driven fraud is escalating at an alarming rate, and it’s reshaping how we define digital trust. Taking findings from the Q2 2025 Digital Trust Index and Sift’s recent I, Fraudbot: Signals and Strategy for Preventing GenAI Fraud webinar, this blog explores how AI is fueling a surge in scams, shifting consumer behavior, and forcing a […]
- [How Blackbox Models Undermine Fraud Prevention & Cut Growth](https://sift.com/blog/how-blackbox-models-undermine-fraud-prevention-cut-growth/): In fraud prevention, “blackbox” AI models produce outcomes without revealing how or why a decision was made. Some providers still embrace the term—even positioning it as a feature. But any AI system where the internal workings are not transparent or easily interpretable by humans, even if inputs and outputs are visible, introduces unchecked risk to […]
- [How CFOs Can Reframe Fraud as a Growth Engine](https://sift.com/blog/how-cfos-can-reframe-fraud-as-a-growth-engine/): For years, fraud was seen as a cost of doing business, treated as an operational or compliance burden. But that perspective is changing. As fraud grows more sophisticated and directly impacts customer experience, digital trust, and revenue, CFOs are taking the lead, moving the focus from “How do we contain fraud?” to “How can fraud […]
- [How consumers & fraudsters get around KYC verification](https://sift.com/blog/kyc-crypto-fraud-alert/): Sift Fraud Alert: Find out how crypto users, fraudulent and legitimate, are bypassing identification checks on exchanges and websites.
- [How Digital Commerce Fraud Works and Why It’s Hard to Stop](https://sift.com/blog/digital-commerce-fraud-how-it-works/): One of the biggest mistakes that businesses make today is underestimating the size and scope of digital commerce fraud. Fraudsters nowadays have access to a whole host of advanced tools for targeting online businesses including fraud-as-a-service tools and AI-powered automation. These modern tactics make attacks faster and more scalable than ever before. For fraud teams, […]
- [How do account takeover (ATO) attacks bypass multi-factor authentication (MFA)?](https://sift.com/blog/how-do-account-takeover-ato-attacks-bypass-multi-factor-authentication-mfa/): Discover the rising threat of account takeover attacks (ATO), how they can bypass multi-factor authentication (MFA), and strategies for prevention.
- [How EMEA iGaming Operators Can Tackle the Risks of Online Gaming](https://sift.com/blog/how-igaming-operators-can-tackle-the-risks-of-online-gaming/): The global online gambling market was estimated to be worth $65.53 billion in 2022 and is predicted to grow by 190% within a decade, with the EMEA region leading the charge with an 11% expected growth by 2029. The rapid opportunity for growth has been hindered by an equal increase in security risks. Between 2019 […]
- [How Fraud Detection Works: Best Practices for UK Businesses in 2025](https://sift.com/blog/how-fraud-detection-works-best-practices-for-uk-businesses-in-2025/): Fraud in digital payments is evolving faster than many businesses can keep up with. In 2024, financial fraud cost UK businesses over £1.2 billion, with increasingly complex attacks targeting fintechs, digital lenders, and e-commerce platforms. Fraud detection is important because it detects behavioural anomalies, device manipulation, synthetic identities, and social engineering attempts in real time. […]
- [How Fraud Experts Fight Fake Content in E-Commerce](https://sift.com/blog/how-fraud-experts-fight-fake-content-in-e-commerce/): Global disruption, adaptation, and constant reports of “fake news” may be prominent themes in 2020, but counterfeit content in e-commerce is as old as the digital marketplace itself. When left unchecked, scams and spam content have the power to do irreversible damage to a company’s reputation and growth—leaving merchants at the mercy of an internet […]
- [How Fraud Teams Can Have a Seat at the Revenue Table ](https://sift.com/blog/how-to-have-a-seat-at-the-revenue-table/): Every fraud and trust & safety leader knows the feeling. You block the fraud, keep chargebacks in check, and still end up defending your budget in the next planning cycle. Sift’s recent Blueprint session tackled a question that applies far beyond fraud: how does a team that’s traditionally seen as a cost center prove it […]
- [How iGaming brands redefine VIP experiences](https://sift.com/blog/how-leading-igaming-brands-are-redefining-vip-experiences/): Learn how top iGaming brands use Sift to transform fraud prevention into a winning strategy for better player experiences.
- [How is AI Affecting Fraud?](https://sift.com/blog/how-is-ai-affecting-fraud/): AI is driving a new wave of fraud. The volume of phishing emails jumped 1,265% since late 2022 and credential phishing has grown by 967%, in large part due to the proliferation of generative AI. Financial institutions alone could lose up to $40 billion by 2027 due to generative AI-enabled fraud. Deepfakes and other AI-driven […]
- [How Merchants Can Fight (and Win) Friendly Fraud Disputes](https://sift.com/blog/how-merchants-can-fight-and-win-friendly-fraud-disputes/): E-commerce merchants know that, despite its affable name, ‘friendly fraud’ is much less friendly than it is frustrating. It’s long been something that online businesses have had to account for and build into fraud prevention strategies, but the global pandemic has driven some companies’ chargeback rates to historically high levels—leaving trust and safety teams with […]
- [How One Trillion Events Power the Sift Global Data Network](https://sift.com/blog/one-trillion-events-power-the-sift-global-data-network/): The Sift global data network now processes more than one trillion events per year, providing customers with unparalleled accuracy in preventing fraud.
- [How the Coronavirus is Impacting Consumer Behavior and Fraud](https://sift.com/blog/how-the-coronavirus-is-impacting-consumer-behavior-and-fraud/): We analyzed Sift internal data to uncover how the global pandemic is affecting consumer behavior and fraud trends to help businesses adapt and grow.
- [How the global fraud-fighting community makes the internet safer for everyone](https://sift.com/blog/how-the-global-fraud-fighting-community-makes-the-internet-safer-for-everyone/): Discover why a platform approach, combined with global data and community, is the foundation of best-in-class Digital Trust & Safety. 
- [How to Benchmark Fraud Performance and Find Hidden Gaps](https://sift.com/blog/how-to-benchmark-fraud-performance-and-find-hidden-gaps/): Fraud teams live and die by their numbers. But which numbers actually matter, and how do you know if they’re telling the full story? That question sat at the center of Sift’s Blueprint session, How to Benchmark Fraud Performance and Find Hidden Gaps, featuring Jerry Hoff, Founder and CEO of AppSec Training, in conversation with […]
- [How to Build a Fraud Signal-Sharing Strategy Across Teams and Vendors](https://sift.com/blog/how-to-build-a-fraud-signal-sharing-strategy-across-teams-and-vendors/): I recently joined Jerry Hoff, CEO of AppSec Training, for a Blueprint Series session on fraud signal sharing, and it’s a topic I keep coming back to. Fraud, trust and safety, and security teams often work from separate systems with no shared view of the same bad actor. That gap slows response time and lets […]
- [How to Choose the Right Fraud Prevention Solution: Top Questions to Ask](https://sift.com/blog/how-to-choose-the-right-fraud-prevention-solution-top-questions-to-ask/): In 2023, 84% of large businesses with over $1 billion in revenue experienced fraud, either attempted or successful. Fraud costs businesses an average of 5% of their annual revenue, with merchant losses from online payment fraud exceeding $362 billion globally between 2023 to 2028. As fraud attempts escalate, businesses can’t afford gaps in their security […]
- [How to combat promo abuse, refund abuse, and other types of policy violations](https://sift.com/blog/how-to-combat-promo-abuse-refund-abuse-and-other-types-of-policy-violations/): Discover the consequences of policy abuse and effective strategies to combat promo abuse, refund abuse, and other types of policy violations. 
- [How to combat the emergence of automated and AI-generated fraud](https://sift.com/blog/how-to-combat-the-emergence-of-automated-and-ai-generated-fraud/): Discover the top insights discussed during this recent webinar with Sift customers Mindbody and Zipcar on the impact of automated and AI-generated fraud.
- [How to Combat the Fraud Economy in Fintech](https://sift.com/blog/how-to-combat-the-fraud-economy-in-fintech/): Get insights from Jane Lee, Trust and Safety Architect at Sift, on the growing Fraud Economy, its impact on fintech, and how Digital Trust & Safety can help protect and grow your business.
- [How to Create the Best Chargeback Responses](https://sift.com/blog/how-to-create-the-best-chargeback-responses/): In the world of chargebacks, card networks almost always side with cardholders. Merchants are left to foot the bill for costly misunderstandings, buyer’s remorse, or chargeback fraud. It may feel as though the odds are stacked against you. However, rather than accept the losses from chargebacks, crafting a complete and well-thought-out chargeback response may mean […]
- [How to Detect and Prevent Account Creation Fraud](https://sift.com/blog/how-to-detect-and-prevent-account-creation-fraud/): Account creation fraud occurs when a fraudster creates an account using false, stolen, or synthesized identity information. Unlike account takeover, which targets existing legitimate accounts, account creation fraud produces what fraud teams often call “born bad accounts.” These are accounts that were never associated with a real, trusted user.  “Born bad accounts” become infrastructure for […]
- [How to Detect Fake Accounts and Multi-Accounting](https://sift.com/blog/detect-fake-accounts-multiaccounting/): A single fake account rarely does much damage on its own. The real threat shows up when a fraud ring turns one playbook into dozens of accounts, each one built to look like a first-time buyer or seller while quietly abusing promotions or seeding fraudulent listings across your marketplace.  This post walks through the technical […]
- [How to Evaluate Payment Fraud Analytics and Measure Risk](https://sift.com/blog/how-to-evaluate-payment-fraud-analytics-and-measure-risk/): Explore the key components of payment fraud analytics and the importance of accurately measuring risk.
- [How to Evaluate Payment Fraud Analytics and Measure Risk](https://sift.com/blog/evaluate-payment-fraud-analytics-and-measure-risk/): As payment fraud becomes increasingly complex in the United Kingdom, high-quality data helps companies unravel the risks, patterns, and anomalies that make up payment fraud. While collecting the data itself is important, payment fraud analytics assist companies in understanding and deriving valuable insights from the raw data. That’s what fuels the most effective decisions that […]
- [How to identify and stop card hopping and card testing fraud](https://sift.com/blog/how-to-identify-and-stop-card-hopping-and-card-testing-fraud/): Card testing and card hopping are two common types of payment fraud that can be difficult to detect and prevent. Discover the differences between these two types of fraud and how to prevent payment fraud.
- [How to Manage Disputes and Chargebacks in the PayPal Resolution Center](https://sift.com/blog/paypal-disputes-chargebacks/): PayPal is a useful service for merchants but its processes can be complex. Learn how to manage disputes, claims, and chargebacks.
- [How to Optimize 3D Secure for Chargeback Prevention](https://sift.com/blog/how-to-optimize-3d-secure-for-chargeback-prevention/): Chargebacks can harm your business in a number of ways, including with a chargeback fee that can range from $20 to $100 per claim. It’s estimated that one of the leading causes of chargebacks is fraudulent activity, with fraud accounting for 34% of all chargebacks. As a result, businesses are seeking solutions to minimize financial […]
- [How to prepare for fraud this holiday season](https://sift.com/blog/how-to-prepare-for-fraud-this-holiday-season/): The holiday season is upon us. Check out tips to prepare for the holiday shopping season and influx of fraud.
- [How to prevent account takeovers: ATO prevention in 2024](https://sift.com/blog/how-to-prevent-account-takeovers-ato-prevention-in-2023/): Prevent account takeovers before they happen by implementing these best practices from Sift.
- [How to Prevent Chargeback Fraud in Online Stores](https://sift.com/blog/how-to-recognize-and-prevent-chargeback-fraud/): While chargebacks are something every business encounters, as e-commerce continues to grow, chargeback fraud is becoming a more serious problem.  Chargeback fraud—a type of fraud that revolves around disputing charges for products received or services rendered—is on the rise, and has been for decades. Estimates from Mastercard show that global chargeback volume will exceed 335 […]
- [How to Prevent Chargebacks and Protect Your Business](https://sift.com/blog/how-to-prevent-chargebacks-and-protect-your-business/): Imagine a thriving online business owner suddenly facing an unexpected surge of chargebacks and fraudulent transaction claims. This scenario presents a dual challenge: diminishing profits and a strained relationship with the payment processor. The urgency for a solution is clear, but where to begin? This situation is far from unique. Many business owners encounter similar […]
- [How to Prevent Fake Listings and Collusion](https://sift.com/blog/prevent-fake-listings-collusion/): Fake listings and buyer-seller collusion rarely show up on the same dashboard, but they erode trust in commerce marketplaces in nearly identical ways. A buyer clicks, trusts what they see, and loses money before anyone flags the transaction, or a seller and buyer who are secretly the same person move stolen funds through a transaction […]
- [How to Prevent Marketplace Fraud](https://sift.com/blog/marketplace-fraud-abuse/): Discover how fraudsters are misusing and abusing marketplaces and how businesses can stay proactive.
- [How to Prevent Payment Fraud and Chargebacks in Ecommerce](https://sift.com/blog/prevent-payment-fraud-and-chargebacks/): Payment fraud and chargebacks used to be two separate line items on a fraud team’s dashboard. Now they are converging. Sift’s Q2 2026 Digital Trust Index found that overall chargebacks rose 19% year-over-year, and merchants lose $4.61 for every dollar of fraud once fees, fines, and lost merchandise are added up. This guide walks through […]
- [How to Prevent Policy Abuse](https://sift.com/blog/how-to-prevent-policy-abuse/): Digital commerce has seen incredible growth in recent years, with online purchases accounting for 20.8% of all retail purchases in 2023; more than double the expansion just 5 years ago. This increase led to new opportunities for businesses to scale, but created just as many opportunities for fraudsters to exploit lapses in online security.  Online […]
- [How to Prevent Subscription Fraud](https://sift.com/blog/how-to-prevent-subscription-fraud/): The subscription economy boomed at a rate of 435%in the last ten years. This business model has transformed digital commerce, where companies offer continuous, flexible, and evolving services for a recurring fee. This expansion comes with a pitfall: subscription fraud, a threat that costs businesses over $2 billionannually. Internet and softwarecompanies are targeted by attacks […]
- [How to Prevent Travel and Ticketing Fraud](https://sift.com/blog/how-to-prevent-travel-and-ticketing-fraud/): Online travel platforms are expected to reach $1.3 trillion in 2032, a valuation that makes the travel and ticketing industry a prime target for fraud. In 2023, over 36% of transactions in the sector were flagged as potentially fraudulent, making it one of the most exploited industries globally. According to TransUnion’s 2024 Omnichannel Fraud Report, […]
- [How to Protect Internet and Software Businesses from Payment Fraud](https://sift.com/blog/how-to-protect-internet-and-software-businesses-from-payment-fraud/): The digital economy is on its way to a total value of $16.5 trillionby 2028. This growth has also led to an increase in fraud, targeting each step of the user journey. Traditional security tools are insufficient against today’s AI-powered threat actors.  Instead, companies need advanced fraud detection and prevention solutions. These platforms enable companies […]
- [How to protect your business from first-party fraud](https://sift.com/blog/how-to-protect-your-business-from-first-party-fraud/): First-party fraud is an expensive cost of doing business. Merchants estimate that credit card chargebacks will cost them $100 billion in 2023—an expected outcome after the average cost of a dispute rose to $192.53 last year, up 16%from 2021. Compounding the problem is growing economic pressure and the increasing democratization of fraud; a recent Sift survey […]
- [How to Reduce Friction Without Compromising Fraud Security](https://sift.com/blog/how-to-reduce-friction-without-compromising-fraud-security/): Customers expect digital experiences to be fast, easy, and secure. They want to create accounts, log in, check out, and manage payments without unnecessary steps. But they also expect businesses to protect their accounts, transactions, and personal information from fraud. That balance was the focus of Sift’s Blueprint session, How to Reduce Friction Without Compromising […]
- [How to secure payments from checkout to chargeback: Pairing Sift Payment Protection and Dispute Management](https://sift.com/blog/payment-protection-and-dispute-management/): Chargeback management isn’t always something businesses plan for from the start. But recent data makes it clear that they should: by the second half of 2022, chargeback rates were up 35% across Sift’s global network from the start of the year, with the average value of every dispute falling around $193.00. And according to Merchant […]
- [How to Solve for More Than Just Payment Fraud](https://sift.com/blog/how-to-solve-for-more-than-just-payment-fraud/): Most fraud programs start with payment fraud, and for good reason. It’s the fastest path to measurable loss. But teams that stop there often miss account takeover, fake account creation, and promo abuse until those problems show up in support tickets, chargeback disputes, or a spike in customer complaints. By the time it’s visible, it’s […]
- [How to Stop Account Takeover and Post-Login Abuse](https://sift.com/blog/stop-account-takeover-and-post-login-abuse/): Account takeover (ATO) attack volumes actually dropped 7% last quarter, but don’t let that fool you into a false sense of security.  Sift’s latest network data reveals a much more dangerous shift: fraudsters are abandoning sloppy, mass-volume login attacks and turning to highly targeted, surgical strikes. While login attempts fell, successful breaches caused downstream fraudulent […]
- [How to Stop Payment Fraud: A Guide for B2C Internet and Software Companies](https://sift.com/blog/how-to-stop-payment-fraud-a-guide-for-b2c-internet-and-software-companies/): Over the next four years, global B2C online payment fraud is expected to surge by over 40%, causing billions in losses. This spike is a direct threat to consumer trust in brands, as 76% of customers will abandon a brand in the event of payment fraud. With global online transactions steadily growing year-over-year, the industry […]
- [How to Use AI in Fraud Detection](https://sift.com/blog/how-to-use-ai-in-fraud-detection/): Online shopping has become an integral part of people’s daily lives. According to the World Bank, two-thirds of adults worldwide use digital payments while the overall e-commerce market is expected to reach $4.32 trillion in 2025.  While businesses have much to gain through online transactions, the risk of fraud persists. Online shopping holds significant risk […]
- [How to Use Sift’s Asynchronous Webhook Notifications Securely](https://sift.com/blog/how-to-use-webhook-notifications/): Last year, we launched Formulas and Actions, powerful tools for automating more of your fraud review workflow. Since then, we’ve gotten a lot of positive feedback from customers about how Actions are helping them streamline fraud management, but we’ve also gotten some questions about best practices. In this blog post, we’ll share guidelines for the best, most secure way to use Actions Webhooks to automate tasks that need to be done asynchronously.
- [How we rebuilt our app on React and Dropwizard, Part 1](https://sift.com/blog/how-we-built-it/): Two years ago, we publicly launched our first fraud product with the goal of making it easy for anybody to leverage the same machine learning technology that protects the largest internet retailers. That product had a very simple interface: we provided one API for sending data about user behavior and another to query the fraud score of a user. But as our customer base grew, we needed better internal tools to debug and surface customer issues.
- [Identity Intelligence: The Foundation of Trust in Digital Business](https://sift.com/blog/identity-intelligence-the-foundation-of-trust-in-digital-business/): Digital-first sales in 2024 were nearly double those in 2019. This rapid shift towards online interactions continues to fundamentally change how companies remain competitive, maintain consumer loyalty, and accelerate revenue growth. Fraud and risk teams are at the forefront of this shift, playing a critical role in determining which user interactions to trust, when to […]
- [Identity Trust XD in Action: Continuous Improvements to Decisioning Speed and Accuracy](https://sift.com/blog/identity-trust-xd-in-action/): Last week, Sift revealed Identity Trust XD, an entirely new framework for fraud detection and decisioning that adds deep, cross-dimensional context to every digital interaction between a business and its users. But innovation doesn’t stop here. Today we’re unveiling additional enhancements to the Sift Console and our AI-powered models, setting the stage for our customers’ […]
- [Identity, Trust, and the Evolution of Who We Are Online](https://sift.com/blog/identity-trust-and-the-evolution-of-who-we-are-online/): We were excited to see Sift Science’s name this week as part of the “Digital Identity Top 10,” an ongoing scorecard created by PYMNTS.com and Socure, a digital identity verification company. We were ranked No. 8 alongside a broad range of companies that all do some form of fraud detection or mitigation. Digital Identity Top […]
- [iGaming Fraud Prevention](https://sift.com/blog/igaming-fraud-prevention/): Online gambling operators face a fraud challenge that’s broader and more operationally demanding than many other digital businesses. The combination of real-money transactions, high-value promotional programs, strict regulatory requirements, and a global player base creates a fraud surface that spans the full player journey, from registration through deposit, gameplay, withdrawal, and beyond.  In this blog, […]
- [iGaming Fraud Prevention: Key Strategies to Implement](https://sift.com/blog/implement-igaming-fraud-prevention/): While every operator budgets for promotions as a customer acquisition cost, very few budget for the version of that cost that never converts into a real player. Bonus abuse and multi-accounting now account for the single largest fraud category in iGaming, making up 64% of fraud according to a recent study. But unlike chargebacks or […]
- [Improved developer experience: New API reference](https://sift.com/blog/improved-developer-experience-new-api-reference/): Successful fraud fighting starts with a seamless integration, and we want to ensure you’re set up for success. We recognize the importance of well-thought-out documentation, which is why we’re excited to launch a redesign to our API reference. Based on feedback we collected from customers, as well as our team’s own experience using our documentation, […]
- [Inside the Rise of ATO: How Agentic AI Is Rewriting the Rules of Digital Trust](https://sift.com/blog/inside-the-rise-of-ato-how-agentic-ai-is-rewriting-the-rules-of-digital-trust/): Account takeover (ATO) fraud is accelerating in both scale and sophistication. Findings from Sift reveal how fraudsters are moving beyond credential stuffing and brute-force tactics, using automation and AI to imitate legitimate users, bypass detection systems, and exploit weak defenses. These evolving methods are forcing businesses to rethink how they establish and maintain digital trust. […]
- [Insights on Creating Trust and Safety on the Internet Featuring Gartner Research](https://sift.com/blog/insights-on-creating-trust-and-safety-on-the-internet-featuring-gartner-research/): Learn valuable insights on how to make the move to a trust and safety strategy.
- [Into the Unknown: Sift’s Trust and Safety Architects on Fighting Fraud in the Face of Global Disruption](https://sift.com/blog/into-the-unknown-sifts-trust-and-safety-architects-on-fighting-fraud-in-the-face-of-global-disruption/): In the face of a global pandemic, fraudsters hear opportunity knocking. Sift’s Trust and Safety Architects share how to navigate fraud’s new normal.
- [Introducing Account Takeover Prevention](https://sift.com/blog/account-takeover-prevention/): Today, we’re excited to launch Sift Science Account Takeover Prevention, which automatically detects and blocks illegitimate login attempts from bad actors – without getting in the way of your good users. It’s the most proactive way to protect your valuable user base, your brand, and your bottom line from account takeovers. More breaches = more […]
- [Introducing Identity Trust XD: A New Dimension for Fraud Decisioning in the Age of AI](https://sift.com/blog/introducing-identity-trust-xd-decisions-with-dimension/): Discover how Identity Trust XD from Sift delivers Decisions with Dimension—enhancing fraud decisioning with cross-dimensional identity intelligence, providing unprecedented user insights and accelerating speed-to-trust.
- [Introducing mobile locations for better fraud fighting](https://sift.com/blog/introducing-mobile-locations-better-fraud-fighting/): More and more users are turning to mobile to make purchases, interact with online communities, and browse the web — and fraudsters are following suit. We launched our iOS and Android SDKs over the last year to help our customers fight mobile fraud. Customers who have integrated the SDKs have already seen many mobile-specific signals […]
- [Introducing New Fraud & Abuse Prevention Products](https://sift.com/blog/new-fraud-abuse-prevention-products/): On the internet, abuse and fraud can take many forms. At Sift Science, it’s our mission to give companies the tools and knowledge to stop abuse and fraud in whatever form it takes. That’s why we’re proud to announce the next big evolution of the Sift Science Platform. Today, we are releasing two new abuse […]
- [Introducing RiskWatch: Simplified Risk Decisioning for the Enterprise](https://sift.com/blog/introducing-sift-riskwatch/): The AI transformation is reorienting digital businesses around new opportunities for expansion, innovation, and positive disruption. Fraudsters aren’t blind to the potential, already turning to artificial intelligence to undermine every step of the online user journey and siphon valuable data and capital from consumers and companies alike. We see AI being used to outsmart fraud […]
- [Introducing Sift Science Workflows](https://sift.com/blog/sift-science-workflows/): We’re proud to announce Sift Science Workflows, a set of capabilities that enables you to build custom fraud processes with less code and cost than ever before. Integrations are now faster and you can more easily manage your business as you scale. There are three components to Sift Science Workflows: Workflows – Build and manage […]
- [Introducing Sift’s expanded partner program: Delivering Digital Trust & Safety to more businesses across the globe](https://sift.com/blog/introducing-sifts-expanded-partner-program/): Learn about Sift’s streamlined partner program, which extends Sift’s powerful fraud prevention technology to new customers.
- [Introducing the Fraud Industry Benchmarking Resource (FIBR) | Powered by Sift ](https://sift.com/blog/introducing-fibr-powered-by-sift/): Sift’s new first-of-its-kind Fraud Industry Benchmarking Resource (FIBR) allows you to compare key fraud rates by industry or geography, providing valuable insights to inform your digital risk strategy.
- [Introducing the new customizable Sift Science console!](https://sift.com/blog/introducing-new-customizable-console/): We’re really excited to unveil the customizable Sift Science console, which will help your team stop fraud faster and more efficiently than ever before.
- [Introducing the Sift Science Digital Trust Platform](https://sift.com/blog/introducing-digital-trust-platform/): Today, we’re excited to unveil the Sift Science Digital Trust Platform, a holistic way for online businesses to maximize their revenue with legitimate users while protecting both themselves and their customers from the ever-expanding attack vectors of fraud and abuse. Protecting digital businesses while enabling growth It’s never been more vital for online businesses to […]
- [Introducing Workflow Simulation: Safer Growth via Fraud Automation](https://sift.com/blog/introducing-workflow-simulation/): Sift’s new Workflow Simulation innovation makes it easier to drive fraud performance with on-demand, drill-down insights to guide automation improvements in a simulated environment.
- [Is Scamming Illegal? Three Legal Loopholes That Let Fraudsters Operate](https://sift.com/blog/legal-loophole-scammers-fraud/): Is scamming illegal?  In most cases, yes. Fraud laws in the U.S. make it a crime to deceive someone for money, property, or services. Online scams like phishing, identity theft, and wire fraud are clearly against the law and can lead to steep fines or jail time. But here’s the catch: not every shady practice […]
- [It’s All Fun and Games Until Someone Gets Hacked: Fraud in the Gaming Industry](https://sift.com/blog/its-all-fun-and-games-until-someone-gets-hacked-fraud-in-the-gaming-industry/): The gaming industry is no stranger to fraud. Major data breaches, such as the Sony and NIS America breaches, received mainstream media coverage when they occurred. But most stories about fraud in gaming do not get that level of attention, despite the fact that there are 2.2 billion gamers in the world and 1 billion […]
- [Key components of a fraud prevention platform](https://sift.com/blog/key-components-of-platform-solutions/): Discover key considerations to keep in mind when looking at fraud prevention platforms.
- [Key Takeaways From Money20/20 Europe 2024: Rising Trends in Fintech and Strategies to Combat Fraud](https://sift.com/blog/key-takeaways-from-money20-20-europe-2024/): With over 150+ back-to-back sessions across three days, Money20/20 Europe drew one of the biggest crowds of leaders across the fintech ecosystem in the region and beyond. If you were unable to attend or want a quick recap, check out this summary and its practical implications you can take back to your team, including how […]
- [Key takeaways from Money20/20 Las Vegas 2022](https://sift.com/blog/key-takeaways-from-money20-20-las-vegas-2022/): Discover Sift’s top takeaways from Money20/20 Las Vegas 2022, one of the largest and most influential shows in the fintech industry.
- [Key takeaways from Sift’s live session with iGaming Business on differentiating between players and fraudsters](https://sift.com/blog/key-takeaways-from-sifts-live-session-with-igaming-business/): In this live session with iGaming Business, panelists share key perspectives on how the best in the business keep the friendly players playing, and the fraudsters at bay.
- [Key takeaways from the 2022 Gartner® Market Guide for Online Fraud Detection](https://sift.com/blog/key-takeaways-from-the-2022-gartner-market-guide-for-online-fraud-detection/): Discover three key takeaways from the 2022 Gartner Market Guide for Online Fraud Detection, highlighting important qualities to look for in a fraud detection solution.
- [Key Takeaways From the 2022 Marketplace Risk Management Conference](https://sift.com/blog/key-takeaways-from-the-2022-marketplace-risk-management-conference/): Discover top marketplace fraud trends from the 2022 Marketplace Risk Management Conference.
- [Key Takeaways from the 2024 MRC Virtual Summit: Generative AI](https://sift.com/blog/key-takeaways-from-the-2024-mrc-virtual-summit-generative-ai/): As the digital economy expands, artificial intelligence (AI) is reshaping fraud prevention and payments, offering both opportunities and challenges. At the recent MRC Virtual Summit on Generative AI, industry leaders explored AI’s dual role as an enabler of innovation and a weapon for fraudsters. The discussions emphasized the urgent need for businesses to stay ahead […]
- [Know Your Super Bowl: How Fraud Teams Can Prepare for Peak Payment Volume Spikes](https://sift.com/blog/how-fraud-teams-can-prepare-for-peak-payment-volume/): Every business has a Super Bowl. It just isn’t always the Super Bowl. For one company, it might be Black Friday. For another, Valentine’s Day. For others, the biggest payment spike of the year comes from a product launch, ticket release, or viral moment nobody saw coming. That was the premise of a recent Merchant […]
- [Kris Nagel of Ping Identity on joining Sift as Chief Executive Officer](https://sift.com/blog/kris-nagel-sift-ceo-announcement/): Meet Kris Nagel, Sift’s new Chief Executive Officer and former COO of Ping Identity.
- [Las Vegas: Sift City](https://sift.com/blog/las-vegas-sift-city/): We’re back at the Merchant Risk Council’s annual conference in Las Vegas! After winning last year’s METAward “for leadership and innovation in ecommerce payments and fraud”, Sift Science returns to the Aria to showcase some of our exciting new product updates and meet our awesome users.
- [Latest Product Updates | ThreatClusters, AI vs. ATO, & Supercharging Fraud Decisioning for Advanced Threats](https://sift.com/blog/q3-2024-product-updates/): The cyber-fraud machine is thriving. Rampant fraud-as-a-service and an underground Fraud Economy generate $160Bannually trading stolen account data alone, and 76% of risk professionalsreport that their businesses have been targeted specifically by AI-driven threats. This highly lucrative and unrestricted landscape has helped fraudsters become adept at adopting and refining their tactics across borders, tailoring their strategies […]
- [Looking Back on 2025 Fraud Trends with Sift’s Fraud Industry Benchmarking Resource (FIBR)](https://sift.com/blog/looking-back-on-2025-fraud-trends-with-sifts-fraud-industry-benchmarking-resource/): We now have a full look at 2025 data from Sift’s Fraud Industry Benchmarking Resource (FIBR), giving fraud and risk teams a clearer picture of how attack patterns and merchant behavior evolved over the past year. With a complete year of data, we can spot seasonal spikes and understand where fraud pressure eased, where costs […]
- [Lost transparency, blackbox ML, and other hidden risks of outsourced fraud solutions](https://sift.com/blog/lost-transparency-blackbox-ml-and-other-hidden-risks-of-outsourced-fraud-solutions/): Machine learning-based fraud decision engines are sometimes viewed as mysterious black boxes that only provide minimal insight into why a decision was made on a login or a transaction. It’s a valid concern; not all fraud solution providers provide intuitive decision explainability. Some solutions fail to provide any transparency at all on the transactions they […]
- [Loyalty Program Fraud: A Rapidly Growing Trend Among Identity Thieves](https://sift.com/blog/loyalty-program-fraud/): The adoption of chip-enabled EMV credit cards has helped reduce the amount of card present fraud in brick-and-mortar stores, but for identity thieves, the necessity for someone else’s credit information is the mother of invention (or ingenuity).   The latest target for fraud? Travel loyalty programs. As account takeover (ATO) soars, loyalty points accounts in […]
- [Machine Learning for Fraud Prevention: What’s Next](https://sift.com/blog/machine-learning-fraud-prevention-whats-next/): Advancements in technology – including improvements in computing power and wide-scale availability of big data – have radically changed how companies use machine learning. Fraud prevention is a major area in which machine learning is transforming both workflows and outcomes, allowing organizations to stay ahead of increasingly technologically advanced criminals. How can you take advantage of […]
- [Machine learning for poets](https://sift.com/blog/what-is-machine-learning-intro/): This article is the first in a series that explains, in simple terms, what machine learning is. It is geared toward non-technical folks (like me). Later, we’ll discuss more advanced examples, technical challenges, etc.What is machine learning? You may not have a crisp definition, but it’s a technology you experience daily. Whether browsing Netflix movie recommendations, having a heart-to-heart with Siri, or navigating the interwebs with Google, you’re witnessing machine learning’s unique power.Today, we’ll talk about the branch of machine learning often used for fraud detection — supervised machine learning — and show how it’s applied to spam detection.
- [Machine Learning Isn’t Always a Black Box](https://sift.com/blog/machine-learning-black-box/): There are a number of common myths about machine learning, which we touched on in a previous post. Now, we want to dive deeper into one of those myths: that machine learning is a black box. While it’s true that many machine learning platform companies do not provide any insights about results or explain how their […]
- [MAG 2025: The AI Payments Shift & How Risk is Reaching the C-Suite](https://sift.com/blog/ai-payments-risk-c-suite/): Artificial intelligence is becoming the core operating system of modern merchant commerce. When thousands of payments and fraud leaders converged in San Antonio for the MAG Payments Conference 2025, AI’s promise to revolutionize efficiency and personalization dominated every corridor conversation, main stage session, and hallway debate. Similarly, AI has accelerated the race between merchants and […]
- [Marketplace Fraud Protection](https://sift.com/blog/marketplace-fraud-protection/): Commerce marketplaces face a fraud challenge that differs from single-sided e-commerce platforms, in both structure and complexity. Because two-sided platforms feature both a buyer and a seller side, this creates two distinct attack surfaces for fraudsters to exploit. Marketplace fraud protection addresses threats on both sides of the transaction simultaneously, as well as the platform-level […]
- [MasterCard Chargeback Reason Codes](https://sift.com/blog/mastercard-reason-codes/): MasterCard uses four main categories to organize its reason codes: Authorization, Card Member Disputes, Fraud, and Processing Errors (which MasterCard refers to as Point-of-Interaction Errors).
- [Mastercard Fraud and Chargeback Monitoring Program: What to Know](https://sift.com/blog/mastercard-chargebacks/): If you’re a merchant that accepts Mastercard, you need to understand how Mastercard’s chargeback monitoring program and fraud reporting work, and how your business measures up to increasingly stringent ratios. Mastercard is the second largest payment provider in the world, and they take fraud and chargebacks seriously to protect their clients and their business. The […]
- [McDonald’s Partners with Sift to Protect Millions of Mobile App Users Around the Globe](https://sift.com/blog/mcdonalds-partners-with-sift-to-protect-millions-of-mobile-app-users-around-the-globe/): In 2020, fast-food titan McDonald’s pulled in over $5.42 billion in global revenue, despite the impact of the coronavirus. Analysts credit the company’s pointed investment in digital media—digital orders (excluding delivery) more than tripled since the pandemic first hit, and McDonald’s responded by placing resources behind drive-thru technology and its mobile app.  A new addition […]
- [Measuring the Impact of Fraud](https://sift.com/blog/impact-of-fraud/): To assess the total cost of fraud (TCOF) on your business, you need to evaluate many moving parts. You should examine not only chargebacks and refunds but also sales lost to erroneous order cancellations. In addition, you should factor in the cost of fraud prevention solutions and the operational costs of managing it all. It’s […]
- [Measuring the Performance of Your Fraud Team](https://sift.com/blog/measuring-the-performance-of-your-fraud-team/): If you are responsible for managing an ops team, chances are you’ve been asked to justify hiring additional headcount and measuring the performance of your existing team. Below, I’d like to share some basic metrics I used to measure the effectiveness of my Risk Ops team while at Square and Google.    Techniques for measuring […]
- [Meet Aaron: the Aficionado of Account Management](https://sift.com/blog/meet-aaron-aficionado-account-management/): This post is part of a bi-weekly series in which we get to know Sifties. Aaron Ashworth is an account manager who has been with Sift Science for just shy of a year. If he could eat just one food for the rest of his life, it would be sandwiches — specifically club sandwiches. What […]
- [Meet Andrew: the Scholar of Strategy](https://sift.com/blog/meet-andrew-scholar-strategy/): This post is part of a bi-weekly series in which we get to know Sifties. Andrew Nelson is a senior enterprise strategy manager who has been with Sift Science for nine months. If he could only eat one food for the rest of his life it would be soup dumplings because really good ones are […]
- [Meet Jeff: the Builder of Business Development](https://sift.com/blog/meet-jeff-builder-business-development/): This post is part of a bi-weekly series in which we get to know Sifties. Jeff Watson is a business development representative (soon to be an account executive) who has been with Sift Science for 10 months. If he could eat only one food for the rest of his life, it would be Mexican food […]
- [Meet Katherine: the Superstar of Solutions Engineering](https://sift.com/blog/meet-katherine-superstar-solutions-engineering/): This post is part of a bi-weekly series in which we get to know Sifties. Katherine Loh, our director of solutions engineering, has been with Sift Science for almost four years. If she could eat only one food for the rest of her life, it would be ravioli because it’s a fairly broad category of […]
- [Meet Lauren: the Expert of Account Executives](https://sift.com/blog/meet-lauren-expert-account-executives/): This post is part of a bi-weekly series in which we get to know Sifties. Lauren Shapiro is an account executive who has been with Sift Science for six months. If she could be any animal, she would be a cat because she feels an affinity to their temperament – she only wants attention when […]
- [Meet Mike: Enterprise Sales Executive](https://sift.com/blog/meet-mike-enterprise-sales-executive/): This is part of a monthly series in which we get to know Sifties. Mike Singh is an Enterprise Sales Executive who has been with Sift Science for one month. If he could eat just one food for the rest of his life – well, he couldn’t, because he loves food too much to pick […]
- [Meet Samantha: the Ruler of Recruiting](https://sift.com/blog/meet-samantha-ruler-recruiting/): This post is part of a bi-weekly series in which we get to know Sifties. Samantha Cowan is a recruiter who has been with Sift Science for a year. If she could be any animal, it would be a black wild mustang because they’re so beautiful and free. What three traits define you? Where is […]
- [ML Meetup Success!](https://sift.com/blog/ml-meetup-success/): The SF Bay Area ML Meetup group recently held an event at Sift Science. It was our first time hosting an event at Sift, as well as our first time having Sift engineers present. Overall, it was an excellent event. The food was great, the venue was beautiful, and our hosts were extremely kind. Those of you who couldn’t attend really missed out! But not to worry, I’ll give you a quick run-down of what happened.
- [Mobile e-commerce fraud detection insights](https://sift.com/blog/mobile-e-commerce-fraud-detection/): Mobile e-commerce is exploding. In the US, 56% of people already own smartphones. Internationally, adoption projections for countries like China show this trend is just beginning. Unfortunately, with the increasing limitations on mobile device fingerprinting, mobile e-commerce fraud detection has also become more complex.
- [Money20/20 Las Vegas: Top takeaways from the Sift team](https://sift.com/blog/money20-20-las-vegas-top-takeaways-from-the-sift-team/): Sift recently had the pleasure of sponsoring and speaking at this year’s Money20/20 conference in Las Vegas, one of the largest and most influential shows in the fintech industry. The event brought in more than 7,500 registrants and 390 vendors from around the world, fueling groundbreaking conversations and inspiring opportunities for collaboration and change. The […]
- [Moving at the Speed of Trust: Our $53M Series D](https://sift.com/blog/sift-science-series-d/): Today marks an exciting milestone in our journey to build the global enterprise-grade Digital Trust Platform. We’re thrilled to announce our $53M Series D, led by Stripes Group, with previous investors Union Square Ventures, Spark Capital, and Insight Venture Partners participating. This brings our total funding to $107M. This capital will fuel our ambition to […]
- [Moving from Static Rules to Real-Time Identity Trust](https://sift.com/blog/moving-from-static-rules-to-real-time-identity-trust/): It’s already clear that social media signals alone aren’t enough to stop sophisticated fraudsters. They’re easy to fake, stripped of context, and unreliable when used in isolation. So what does work?  There are a few common approaches when it comes to using AI in fraud prevention, each with unique trade-offs. Below, we’ll investigate why leading […]
- [MRC Spring 2021: Top Takeaways from Trust and Safety Experts](https://sift.com/blog/mrc-spring-2021-top-takeaways-from-trust-and-safety-experts/): Sift’s Trust and Safety Experts provide key takeaways from the MRC Spring 2021 Virtual Conference, offering recommendations for businesses trying to stay a step ahead of fraud.
- [MRC Vegas 19: Key Takeaways and Learnings](https://sift.com/blog/mrc-vegas-19-key-takeaways-and-learnings/): Last week, over 1600 attendees from 30 countries came together at MRC Vegas 19 to discuss fraud, payments, and risk in the e-commerce space. Sift was at the show, engaged in speaking sessions and demos, and soaking in the experiences, wisdom, and best practices shared by our fellow attendees. What were some of our biggest […]
- [MRC Vegas 2022: Insights from Sift Trust and Safety Experts](https://sift.com/blog/mrc-vegas-2022-insights-from-sift-trust-and-safety-experts/): Sift’s Trust and Safety Architects share key takeaways and fraud insights from MRC Vegas 2022.
- [MRC Vegas 2026: What Fraud Leaders Are Prioritizing Right Now](https://sift.com/blog/mrc-vegas-2026-what-fraud-leaders-are-prioritizing-right-now/): Fraud has always evolved alongside digital commerce, but the pace of change today is different. AI is accelerating how quickly attacks can scale, how efficiently fraud rings operate, and how difficult it can be for businesses to distinguish legitimate customers from bad actors in real time.  At the same time, expectations for seamless digital experiences […]
- [Multi-accounting Fraud in Marketplaces And iGaming](https://sift.com/blog/multi-accounting-fraud-marketplaces-igaming/): Multi-accounting fraud occurs when a single person or coordinated fraud ring operates several accounts on the same platform in an attempt to exploit promotional offers, evade enforcement actions, or manipulate platform economics.  For marketplace operators and iGaming platforms, multi-accounting is one of the most persistent and costly fraud types in the Fraud Economy, both because […]
- [Navigating Payment Fraud: Insights from Sift Trust and Safety Architect Rebecca Alter](https://sift.com/blog/navigating-payment-fraud-insights-from-sift-trust-and-safety-architect-rebecca-alter/): We recently released our Q1 2024 Digital Trust & Safety Index, which includes data on recent payment fraud trends and generational divides in consumer spending habits. Below, we ask our resident fraud expert and Trust and Safety Architect Rebecca Alter to share her insights on the findings from the report.  1. How do you explain […]
- [Navigating PSD3 and PSR: How Sift Supports Compliance and Fraud Prevention](https://sift.com/blog/navigating-psd3-and-psr-how-sift-supports-compliance-and-fraud-prevention/): The digital payments space is constantly evolving, with new regulations shaping how businesses operate and protect their customers. PSD3 (Payment Services Directive 3) and PSR (Payment Services Regulation) are the latest regulatory advancements aimed at enhancing security, reducing fraud, and improving customer experiences in the European Economic Area (EEA). Building on the foundations of PSD2, […]
- [Navigating the 2024 Fraud Landscape: Data & Insights from Sift and MRC](https://sift.com/blog/navigating-the-2024-fraud-landscape-data-insights-from-sift-and-mrc/): The Sift team recently exhibited and presented at Merchant Risk Council (MRC) Vegas, one of the most influential events in the payments and fraud prevention industry. At the conference, Sift co-hosted an event with Incode and presented a Fraud 201 Workshop with Brittany Allen, Trust and Safety Architect at Sift, and Paul Brock, Fraud Manager […]
- [Navigating the Evolving Alternative Payments Ecosystem](https://sift.com/blog/navigating-the-evolving-alternative-payments-ecosystem/): Learn how fraudsters are exploiting alternative payments and why a Digital Trust & Safety approach can help.
- [New 2024 Data Available in Sift’s Fraud Industry Benchmarking Resource (FIBR)](https://sift.com/blog/new-2024-fraud-industry-benchmarking-resource-data/): As we step into the new year, it’s essential to take a comprehensive look at the fraud trends from the previous year to better understand seasonality and plan effectively. We’re excited to announce that updated data for Q4 2024 is now available in our Fraud Industry Benchmarking Resource (FIBR). This extensive data provides valuable insights […]
- [New analyst report: Gartner’s Market Guide for Online Fraud Detection](https://sift.com/blog/new-analyst-report-gartners-market-guide-online-fraud-detection/): Online fraud detection is growing in complexity and demand. What qualities should security and risk management leaders look for in a solution? Gartner’s Market Guide for Online Fraud Detection provides an overview of the market’s direction, from approaches that offer static data-based identification to those providing continuous risk assessment. The guide also discusses the rise […]
- [New Console Updates: Activities Calendar and Export to CSV](https://sift.com/blog/new-console-updates-activities-calendar-and-csv-export/): Today, we’re launching two new exciting improvements to the Sift Science console!Export Sift Science data to CSVWe’ve designed the Sift Science console to include all of the tools, data, and visualizations you need to determine whether someone is fraudulent (or not). However, we know some teams want to extract data from the console to use elsewhere – and now you can!
- [New Decade, New Chapter, New Role](https://sift.com/blog/new-chapter-new-role-jason-tan/): Jason Tan shares an update on his new role and the new chapter for Sift – the leader in Digital Trust & Safety.
- [New Feature: Images Now Appear in the Console!](https://sift.com/blog/images-sift-console/): Whether it’s photos, gifs, memes, or screen shots … people are drawn to what’s visual. In fact, images are one of the most popular types of user-generated content online. But when the images are fraudulent or abusive? They can weaken user trust and destroy experiences across marketplaces, dating sites, forums, social networks, and communities. That’s […]
- [New Q2 2025 Data Available in Sift’s Fraud Industry Benchmarking Resource (FIBR)](https://sift.com/blog/new-q2-2025-data-available-in-sifts-fraud-industry-benchmarking-resource/): To stay ahead of fast-moving fraud, you have to stay close to the data. The latest Q2 2025 update to Sift’s Fraud Industry Benchmarking Resource (FIBR) delivers fresh insights to help you do just that. Whether you’re reevaluating thresholds or fine-tuning workflows, these benchmarks offer a clear view of shifting fraud threats across payment types, […]
- [New Q3 2025 Data Available in Sift’s Fraud Industry Benchmarking Resource (FIBR)](https://sift.com/blog/new-q3-2025-data-available-in-sifts-fraud-industry-benchmarking-resource-fibr/): The Q3 2025 update to Sift’s Fraud Industry Benchmarking Resource (FIBR) is now live, and this quarter’s data tells a story of shifting tactics and major differences between industries. As a Trust & Safety Analyst, I spend my days tracking these patterns to understand where fraudsters are innovating and where defenses are holding strong. FIBR […]
- [New Tools to Audit Your Workflows](https://sift.com/blog/new-tools-audit-workflows/): Today, we’re excited to announce some new features that give you better control and enhanced visibility into how your Workflows are running. Workflows enable fraud teams to build powerful business logic to automatically accept, reject, or manually review a subset of the users from within the Sift Science console. With Workflow Change History and the […]
- [New! Automate authentication and prevent account takeover](https://sift.com/blog/new-automate-authentication-prevent-account-takeover/): Account takeover (ATO) is on the rise across industries, leading to financial loss, community degradation, and brand damage. However, businesses can protect themselves and, more importantly, their customers by stopping unauthorized account access early on. That’s why we’re excited to announce updates to Decisions and Workflows that let you easily manage authentication policies and stop […]
- [On our continued commitment to anti-racism and allyship](https://sift.com/blog/on-our-continued-commitment-to-anti-racism-and-allyship/): The murder of George Floyd by a police officer in May of 2020 shined a centuries-late spotlight onto systemic racism and oppression around the world. Over fourteen months later, and despite a recent conviction in the case, it’s plain how much work is still to be done for all people, everywhere, to have the opportunity […]
- [One Attack, Two Dashboards](https://sift.com/blog/one-attack-two-dashboards/): Part 2: How the CISO and the Fraud Leader See the Same Compromise The security team sees a contained incident. The fraud team sees losses with no origin story. Both are right. That’s the problem. In Part 1 of this series, I argued that account takeover (ATO) is one event with two owners: a security […]
- [Online Fraud Prevention for a Better Internet](https://sift.com/blog/online-fraud-prevention-for-a-better-internet/): The internet should be an egalitarian and open platform for everyone. To allow it to be corrupted by mistrust and fear is something that cannot happen.
- [Online Gambling Fraud Prevention for iGaming Operators](https://sift.com/blog/online-gambling-fraud-prevention/): In just Q1 2026, U.S. iGaming has generated about $3.04 billion, marking over 20% growth year-over-year and nearly $1 billion in April 2026 alone. For the full 2025 year, iGaming hit over $10 billion in revenue, up 27.6% over the previous year. With it being such a profitable industry, there’s no wonder why it’s ripe […]
- [OTP Bots: What They Are and How to Stop Them](https://sift.com/blog/what-is-an-otp-bot/): OTP bots are automated tools used by cybercriminals to trick victims into revealing their one-time passwords (OTPs), which are typically used in two-factor authentication (2FA) processes. These bots often impersonate legitimate companies via phone calls, texts, or emails, guiding victims to input their OTPs on fake prompts or websites.  2FA and OTPs have been hailed […]
- [Our Best Year Yet: New Awards Highlight Product, Company Culture](https://sift.com/blog/new-awards-product-leadership-company-culture/): Seven years ago, Sift Science embarked on a journey to fight fraud with machine learning. Since then, we’ve made strides in our fraud-fighting journey that have taken us down a path of new opportunities for growth and development – from our Series D funding to our recently formed Trust Advisory Board and beyond. Now, we’re pleased to share […]
- [Our biggest release yet – the new Sift Science Console!](https://sift.com/blog/the-new-sift-science-console/): Today, we released a new version of the Sift Science Console that makes manual reviews even faster, easier and more accurate.
- [Our Commitment to Data Privacy](https://sift.com/blog/our-commitment-to-data-privacy/): We know data privacy is top-of-mind for all businesses and users. To be transparent, we wanted to reiterate our commitment to data privacy.
- [Our first CNP award – Judges Choice for Best Antifraud Solution – is gold!](https://sift.com/blog/first-cnp-award-judges-choice-best-antifraud-solution-gold/): We’ve attended Card Not Present (CNP) Expo for the last four years, starting just two years into our fraud fighting journey. At our first CNP event, we were new players on the scene and relished every opportunity to meet with customers and learn from industry leaders. Fast forward four years, and we’re thrilled to announce […]
- [Our next chapter](https://sift.com/blog/our-next-chapter/): The internet offers unprecedented connectivity, scalability, and anonymity. Unfortunately, it can also be abused. As activity moves from the physical to the online world, so does fraud. Online chargebacks, spam, referral abuse, and account takeovers cause all sorts of headaches for businesses that would rather focus on their core competencies. At Sift Science, we make world-class online fraud detection easy and accessible to merchants of all sizes. Just over a year ago, we launched our first product: a fraud detection API that empowers online merchants with realtime, large-scale machine learning. This is the same core fraud detection technology used by giants like Amazon and Google.
- [Owning the customer experience from start to finish: Results, revenue, and ROI](https://sift.com/blog/owning-the-customer-experience-from-start-to-finish-results-revenue-and-roi/): Choosing the right tools for your business is crucial for delivering a seamless customer experience and driving growth. It can mean the difference between faulty, inefficient operations and a well-oiled machine that delivers rising revenue. But identifying a worthwhile tool before purchasing it isn’t always easy. There have never been more options than there are […]
- [Payment Authorization, Billing, and Dispute Lifecycle](https://sift.com/blog/auth-billing-cycle/): When someone orders a pair of shoes online, a number of unseen steps occur between that customer clicking “Submit Order” and the merchandise arriving on their doorstep. In addition to the customer and the merchant, there are other essential parties involved in any online transaction: The Players First, when the customer clicks “Submit Order,” the […]
- [Payment Fraud Prevention: A Tactical Guide For Fraud Teams](https://sift.com/blog/payment-fraud-prevention-a-tactical-guide-for-fraud-teams/): Payment fraud prevention is not a one-time implementation. The tactics that blocked fraud effectively last year may underperform today because fraud operations adapt and change continuously. This guide covers the signals, strategies, and operational practices that give fraud teams a strong advantage against fraudsters. What payment fraud prevention covers Payment fraud prevention is the set […]
- [Pig butchering scams: New romance and crypto fraud alert](https://sift.com/blog/sift-fraud-alert-pig-butchering-scam-couples-romance-with-crypto/): Sift goes undercover to reveal the anatomy of a new romance and crypto scam, dubbed Pig Butchering.
- [Press Release: Sift Science Raises $30M in New Funding, Releases Products to Fight New Types of Fraud and Abuse](https://sift.com/blog/sift-science-raises-30m-new-funding/): SAN FRANCISCO — (Marketwired – July 19, 2016) — Today, Sift Science announced a $30M Series C funding round led by Insight Venture Partners. Prior investors Union Square Ventures and Spark Capital also participated, bringing the company’s total funding to $54M. The company also launched a new set of products designed to detect and mitigate […]
- [Prevent chargebacks strategically](https://sift.com/blog/prevent-chargebacks-strategically/): Preventing e-commerce chargebacks -- due to malicious purchases with stolen credit cards or ‘friendly-fraud’ from disgruntled customers --  is a challenge that requires strategic coordination.By working cross-functionally, your fraud team can:Maximize your bottom line with an effective checkout form (with the website design teams)Minimize the impact of friendly fraud (with the customer service team).
- [Preventing fraud in the iGaming industry](https://sift.com/blog/preventing-fraud-in-the-igaming-industry/): Discover why fraud prevention is vital for iGaming success, and how to protect your business and players.
- [Protecting B2B Internet & Software Businesses from Fraud](https://sift.com/blog/protecting-b2b-internet-software-businesses-from-fraud/): As B2B transactions increase in scale and complexity, they’re also becoming prime targets for fraud. Scammers exploit weaknesses in corporate procure-to-pay processes by using increasingly sophisticated tactics. As a result, 96% of U.S. companies have suffered attempts at or been subject to payment fraud, leading to billions in annual losses.  Traditional security measures are weak […]
- [PSD2 Compliance: A Checklist to Secure Payments and Fraud Prevention](https://sift.com/blog/psd2-compliance-a-checklist-to-secure-payments-and-fraud-prevention/): The rise in online and mobile payments has transformed how we pay, but it’s also created new opportunities for fraud. That’s where PSD2 comes in. Introduced to strengthen security, improve competition, and encourage innovation, the Second Payment Services Directive (PSD2) set out to change how payment service providers across Europe and in the UK handle […]
- [PSD2: Ready or Not, Here It Comes](https://sift.com/blog/psd2-ready-or-not-here-it-comes/): PSD2 is fast approaching, but what do we know about the impact it will have on merchants, and what can they do to prepare?
- [PSD2: What Merchants and PSPs Need to Know](https://sift.com/blog/psd2-what-merchants-and-psps-need-to-know/): Beginning September 14th, 2019, the Regulatory Technical Standards outlined within PSD2 – version 2.0 of the Payments Services Directive – officially become mandatory. With their arrival will come a series of new security and authentication challenges that will directly impact merchants and payment service providers (PSPs) operating out of the EEA, particularly when it comes […]
- [Q&A | FullCircl Talks KYC, AML, and the UK Gambling Act](https://sift.com/blog/kyc-aml-uk-gambling-act/): For industries like iGaming the future is rooted in sustained, data-driven compliance. KYC and financial vulnerability checks are now critical to iGaming operators, supporting regulatory compliance, risk mitigation, and responsible gambling. With regulations tightening, operators are rushing to meet new requirements while maintaining player trust and engagement. FullCircl, a RegTech platform designed to help companies […]
- [Q1 2023 Digital Trust & Safety Index: Payment fraud data and insights](https://sift.com/blog/q1-2023-digital-trust-safety-index-payment-fraud-data-and-insights/): Explore industry data and consumer insights from our Q1 2023 Digital Trust & Safety Index on payment fraud.
- [Q1 2025 in Review: The Latest from Sift on Fraud, Risk, and Identity Trust](https://sift.com/blog/q1-2025-in-review-the-latest-from-sift-on-fraud-risk-and-identity-trust/): Online fraud no longer hides in the shadows. In Q1 2025, new data from Sift showed that more everyday consumers are committing fraud online. In this roundup blog, we recap Sift’s latest research on payment fraud, consumer survey insights, and the newest product updates and innovations helping businesses adapt, respond, and protect trust at scale.  […]
- [Q2 2025 in Review: The Latest from Sift on AI Fraud, Identity Trust, and Product Innovations](https://sift.com/blog/q2-2025-in-review-the-latest-from-sift/): We wrapped up the first half of 2025 with major product innovations, industry recognition, and critical insights into the changing face of fraud. In this roundup, we cover Sift’s latest research on AI-powered fraud, new tools to empower fraud teams, and how some of the world’s most forward-thinking companies are leveraging Sift to fight fraud […]
- [Q3 2025 in Review: Sift’s Wins, Innovations, and Fraud Insights](https://sift.com/blog/q3-2025-in-review-sifts-wins-innovations-and-fraud-insights/): Q3 was an eventful quarter for Sift, with repeat industry recognition, new product innovations, and fresh insights from our network on how AI is shaping fraud. We launched tools that make fraud management simpler and smarter, uncovered new data on account takeover trends, and connected with merchants across the industry to talk about what’s next […]
- [Q4 2022 Digital Trust & Safety Index: The rising risk of online disputes](https://sift.com/blog/the-rising-risk-of-online-disputes/): Explore industry data and consumer insights from the Q4 Digital Trust & Safety Index on the rising risk of online disputes.
- [Raviv Levi: From Cisco to Sift, Disruption and Innovation](https://sift.com/blog/raviv-levi-on-joining-sift/): I have an unwavering fascination with the transformative potential of AI, machine learning, and how we can use it to create a better world for all of us. I have been watching these technologies surface, evolve, and hit the consumer and enterprise markets. It is only now that these technologies are mature enough to literally […]
- [Recap – Fraud Fighters Forum Presents: Journey to Growth Event](https://sift.com/blog/recap-fraud-fighters-forum-presents-journey-to-growth-event/): We brought together leaders in fraud prevention, payments, and Trust & Safety for an evening of learning, discussion, and networking.
- [Reduce Manual Review While Improving Approval & Acceptance Rates](https://sift.com/blog/reduce-manual-review/): Over time, Trust and Safety teams deal with a problem where the more fraud that’s caught, the more manual review queues grow. Technically, they can remedy this issue by cutting review volume to protect the customer experience, but when they do this, false declines will creep up instead.  Recent industry data suggests this doesn’t need […]
- [Reflections on the Tech Superwomen Summit](https://sift.com/blog/tech-superwomen-summit-reflections/): Recently, I attended the San Francisco-hosted Tech Superwomen Summit on behalf of Sift Science. Normally, I’m not one to be easily moved by a conference. This event, however, felt different. The diversity of qualified viewpoints and the questions from the audience made for inspiring discussions, and I’m excited to share my takeaways from the day.
- [Responsible Gambling and Fraud Monitoring](https://sift.com/blog/responsible-gambling-fraud-monitoring/): Responsible gambling and fraud prevention used to live in separate departments with separate tools and separate KPIs. That split does not hold up anymore. The same behavioral signals that flag a fraudster opening a fake account can also flag a player heading toward harm, and iGaming operators that connect these two disciplines are catching more […]
- [Returns Management: What it is and How to Optimise it](https://sift.com/blog/returns-management-what-it-is-and-how-to-optimise-it/): Returns fraud is an escalating challenge in the retail industry, with the UK sector losing £11.3bn in 2023 due to fraudulent returns. With e-commerce and online shopping on the rise, it’s become easier for illicit activities like fraudulent returns to go undetected, putting retailers at a higher risk of loss. At the same time, 70% […]
- [Returns management: What it is and how to optimize it](https://sift.com/blog/the-7-best-practices-for-returns-management/): For every $100 in returned merchandise, retailers lost $13.70 to return fraud in 2023. With e-commerce and online shopping on the rise, it’s become easier for illicit activities like fraudulent returns to go undetected, putting retailers at a higher risk of loss. At the same time, 70% of consumers are reluctant to buy from retailers […]
- [Risk Revenue Forum: Global Insights from Industry Experts](https://sift.com/blog/risk-revenue-forum-global-insights-from-industry-experts/): Risk never sleeps. As businesses and consumers increasingly shift to online platforms, the sophistication and frequency of fraud attacks have grown in tandem—highlighting the increased need for businesses to work together to build safer digital experiences that everyone can trust. In a new events series, Sift and About Fraud brought together industry professionals at multiple […]
- [Rules vs. Machine Learning: Why You Need Both to Win](https://sift.com/blog/rules-vs-machine-learning-need-win/): Rules-based fraud prevention systems have a number of drawbacks when compared to the sophistication of machine learning, but is a machine learning-based system the be-all and end-all of fraud prevention? Can rules actually prove to be beneficial while making the transition to machine learning? We explored these and other questions in our webinar, Rules, Machine […]
- [SaaS go-to-market executive Chris Jones joins Sift as Chief Revenue Officer](https://sift.com/blog/chris-jones-joins-sift-as-chief-revenue-officer/): Chris Jones, SaaS go-to-market executive with 25 years of experience and track record of consistent revenue growth, joins Sift as Chief Revenue Officer.
- [SCA and TRA Exemptions: Optimizing Your Strategy for Increased Acceptance Rates and Reduced Fraud](https://sift.com/blog/sca-and-tra-exemptions/): Striking a balance between security and seamless customer experiences has never been more challenging—or more vital for sustaining growth. As Strong Customer Authentication (SCA) requirements evolve under PSD2, businesses are being forced to figure out friction; while SCA helps reduce fraud, it can also add a security checkpoint at checkout, which may lead to increased […]
- [Securing Your Competitive Advantage with Sift](https://sift.com/blog/securing-your-competitive-advantage-with-sift/): Explore how Sift compares to Kount, and why Sift has been named a leading digital risk solution by experts across the trust and safety space.
- [Setting New Standards for Secure Growth: Sift Named a Strong Performer in the Forrester Wave(TM) for Enterprise Fraud Management](https://sift.com/blog/sift-forrester-wave-enterprise-fraud-management/): Navigating the intricate, changing landscape of fraud prevention requires a robust, forward-thinking approach. As fraud actors embrace AI and automation for financial gain, businesses must adopt advanced solutions that do more than keep up with risk and instead, significantly outpace it. That need is the crux of innovation at Sift while developing our AI-powered fraud […]
- [Should You Reject Unresolved Held Orders by Default?](https://sift.com/blog/should-you-reject-unresolved-held-orders-by-default/): A common underlying assumption when merchants review orders in a queue is that, if the agent reviewing the order is still unsure whether to release the order after looking it over, the agent will reject it by default.  This course of action is regularly pursued when there is limited information provided to an agent at […]
- [Sift + Chargeback: Better Together](https://sift.com/blog/sift-chargeback-better-together/): Learn how Sift and Chargeback are offering the most comprehensive platform for stopping multiple types of abuse while streamlining the customer experience for the world's biggest brands.
- [Sift Announces Integration with Magento to Maximize Conversion Without Risk](https://sift.com/blog/sift-integration-magento/): Protect your e-commerce business and fuel explosive growth with the new Sift + Magento integration. And requires little to no code!
- [Sift Announces Integration with Salesforce Commerce Cloud to Power E-commerce Growth](https://sift.com/blog/sift-integration-salesforce-commerce-cloud/): Protect your e-commerce business and fuel explosive growth with the new Sift + Salesforce Commerce Cloud integration. And requires little to no code!
- [Sift API Development](https://sift.com/blog/api-development-at-sift-science/): At Sift Science, APIs are incredibly important. We spend a lot of timeimproving upon our existing APIs and thinking about how to design even better ones. A couple of weeks ago at theSan Francisco API Craft Meetup, I gave a talk on how we built the API that powers our new Sift console.
- [Sift Celebrates a Decade of Digital Trust & Safety with Awards, Funding, and the Acquisition of Chargeback](https://sift.com/blog/sift-celebrates-a-decade-of-digital-trust-safety-with-awards-and-funding/): Sift acquires Chargeback, wins Best Antifraud Solution for Case Management at the CNP Awards, is named one of Inc. Magazine’s Best Workplaces for 2021, and raises $50 million at a valuation of over $1 billion.
- [Sift enhances payments coverage and control](https://sift.com/blog/digital-risk-emerging-payments/): Discover how to better defend against alternative payment fraud and how Sift is expanding its product offerings to address digital risk in emerging payments.
- [Sift in 2019: Looking Back on an Eventful Year](https://sift.com/blog/sift-in-2019-looking-back-on-an-eventful-year/): Here's a recap of some of our biggest accomplishments of this busy year, from our rebrand, to integrations, to new product features.
- [Sift named a Leader in the 2023 Forrester Wave(TM) for Digital Fraud Management | Key report insights](https://sift.com/blog/sift-2023-forrester-wave-digital-fraud-management/): The digital fraud management (DFM) space is a highly competitive one. It represents a huge spectrum of fraud solutions and strategies that are as diverse as the merchants and financial institutions who rely on them. And, the implications for aligning with the right technology partner are massive, materially affecting digital customer experience, revenue, and profitability. […]
- [Sift Named a Leader in the QKS Group SPARK Matrix™ for eCommerce Fraud Prevention, Q4 2025](https://sift.com/blog/sift-named-a-leader-in-the-qks-group-spark-matrix-for-ecommerce-fraud-prevention/): The pace of innovation in fraud prevention is accelerating, and so are the stakes. As AI reshapes both digital commerce and cybercrime, businesses need solutions that can spot suspicious behavior, make smart decisions, and respond quickly. That’s why we’re proud to share that Sift has been named a Leader in QKS Group’s SPARK Matrix™: eCommerce […]
- [Sift Quarterly Roundup: Collaboration, Innovation, & Industry Recognition](https://sift.com/blog/sift-quarterly-roundup-collaboration-innovation-industry-recognition/): The third quarter of 2024 has been an eventful one for Sift, marked by global gatherings of fraud experts, key product innovation, and a milestone industry recognition. We also expanded our team by welcoming Alexander Hall as our newest Trust and Safety Architect, and shared new data on the rising threat of account takeovers. Here’s […]
- [Sift Quarterly Roundup: Leading the Charge in Digital Trust](https://sift.com/blog/sift-quarterly-roundup-leading-the-charge-in-digital-trust/): As digital trust and fraud prevention evolve, Sift is at the forefront with groundbreaking innovations, industry accolades, and expert insights. Securing top spots in G2’s Spring 2024 Grid® Reports for Fraud Detection and Risk-Based Authentication, Sift continues to shape the future of fraud prevention and digital trust. By exploring the transformative impacts of AI on […]
- [Sift Quarterly Roundup: Rising to the Challenge in Q1 2024](https://sift.com/blog/sift-quarterly-roundup-rising-to-the-challenge-in-q1-2024/): The first quarter of 2024 marked a pivotal period of growth for Sift as we continued to lead the charge in the fight against online fraud and abuse. From reaching new patent milestones to welcoming industry veterans to our team, Sift has had a busy and exciting year so far. Join us as we recap […]
- [Sift Raises $50 Million at a Valuation Over $1 Billion; Expands Executive Leadership Team](https://sift.com/blog/sift-series-e-funding/): Announcing our new CFO, Eu-Gene Sung, alongside a $50 million funding round, which values Sift at more than $1 billion.
- [Sift Science at MRC Vegas 2018: What We Learned](https://sift.com/blog/sift-science-mrc-vegas-2018/): Last week, fraud fighters from all over the world descended on Las Vegas to do what we do best … fight fraud! The Merchant Risk Council (MRC) annual conference was held March 19-22 at the Aria Hotel in Las Vegas. With over 1,500 attendees representing 500 companies from 30+ countries, it was a truly impressive […]
- [Sift Science in 2017: By the Numbers](https://sift.com/blog/sift-science-2017-numbers/): With another year under our belts, we at Sift Science are counting our blessings – from amazing and supportive customers to an ever-growing team, we’re proud to share all that we’ve accomplished in the past 12 months. Did you check out our webinars? How many newsletters did you see? Have you implemented our Android SDK […]
- [Sift Science is Now Privacy Shield Certified](https://sift.com/blog/sift-science-now-privacy-shield-certified/): At Sift Science, we understand that trust powers the internet. Users trust businesses to deliver secure and exceptional experiences. Businesses trust their users to behave safely and honestly on their platforms. When fraudsters threaten to interrupt this flow of trust, that’s where we come in. Sift Science helps thousands of websites and mobile apps fight […]
- [Sift Science Trust Advisory Board: Connecting with Our Customers](https://sift.com/blog/sift-science-trust-advisory-board/): On May 8 in San Francisco, Sift Science welcomed our customers to our very first Trust Advisory Board (TAB) meeting. The mission of TAB is to bring together the best minds in the industry to prevent fraud and build trust across the internet. It also aims to advise Sift’s product, marketing, and sales teams in […]
- [Sift Score API: Add Critical Global Context to Your Internally-Built Risk Models](https://sift.com/blog/sift-score-api-for-internal-models/): For companies building in-house fraud models, risk decisions can’t be made in isolation. Risk evolves in real time, and in-house fraud detection systems that rely primarily on internal data create a universe of unknown blind spots that fraudsters can easily exploit. The Sift Score API eliminates hidden threats by providing real-time risk signals derived from […]
- [Sift Scores: Growing and Protecting Businesses](https://sift.com/blog/sift-scores/): Sift is the leader in applying ML to detect fraud and abuse on the internet, and we've also enabled our customers to unlock incredible growth.
- [Sift to Acquire Chargeback to Provide Complete Protection Against Payment Fraud](https://sift.com/blog/sift-to-acquire-chargeback/): With Sift + Chargeback, merchants will now have access to real-time dispute management within the Sift Digital Trust & Safety Suite.
- [Sift VP, Global Channel Sales Leslie Lorenco Named to CRN’s 2026 Channel Chiefs List](https://sift.com/blog/sift-vp-global-channel-sales-leslie-lorenco-named-to-crns-2026-channel-chiefs-list/): Strong partner ecosystems don’t happen by chance. They’re built deliberately, through clear strategy, sustained investment, and leaders who understand how partnerships actually create value. We’re proud to share that Leslie Lorenco, VP of Global Channel Sales at Sift, has been named to CRN’s 2026 Channel Chiefs List. The annual list recognizes channel leaders who are […]
- [Sift Workflow Best Practices](https://sift.com/blog/sift-workflow-best-practices/): Discover why utilizing Sift Workflows is the key to unlocking automation in your fight against fraud.
- [Sift’s Insights From MRC Berlin 2022](https://sift.com/blog/sifts-insights-from-mrc-berlin-2022/): Explore Sift’s insights from MRC Berlin 2022, including fraud prevention KPIs, PSD2 collaboration, the future of online shopping, and how to reduce disputes.
- [Sift’s AI-powered Fraud Platform Leveraged by Hertz to Drive Digital Trust & Theft Prevention](https://sift.com/blog/sift-leveraged-by-hertz-to-drive-digital-trust-theft-prevention/): Online fraud is bigger than the internet. It impacts the material world, draining billions of dollars from businesses, exposing valuable data, and disrupting the lives of everyday people. And while it’s true that consumers want convenience to replace complexity, they also rely on the brands they trust to uphold their best interests at every turn.  […]
- [Sift’s Journey: 40 Patents in Fighting Online Fraud](https://sift.com/blog/sifts-innovative-journey-40-patents-and-counting/): Sift has been granted 40 patents by the United States Patent and Trademark Office, protecting digital businesses and their customers from evolving fraud.
- [Sift’s Top Takeaways from Bitcoin 2022](https://sift.com/blog/sifts-top-takeaways-from-bitcoin-2022/): Discover insights from Bitcoin 2022 and learn what crypto companies can do to ensure safety and growth.
- [Sift’s Universal Guide to Fraud & Risk Acronyms](https://sift.com/blog/sifts-universal-guide-to-fraud-risk-acronyms/): Digital risk changes daily, presenting businesses with a constant stream of new challenges to face and fraud actors to fight. This comprehensive, evergreen glossary of fraud and risk acronyms represents a broad collection of terms both regularly and rarely used across the space, and serves as a core resource for teams defending businesses and merchants […]
- [Siftie Spotlight: Adrienne Lumb, Web Strategy Manager](https://sift.com/blog/siftie-spotlight-adrienne-lumb-web-strategy-manager/): This is part of a monthly series in which we get to know Sifties. Adrienne Lumb is our Web Strategy Manager, who has been with Sift Science for over a year. If she could eat just one food for the rest of her life, it would be spinach! She eats it twice a day and […]
- [Siftie Spotlight: Angela Marrujo, Content Marketing Associate](https://sift.com/blog/siftie-spotlight-angela-marrujo-content-marketing-associate/): This is part of a monthly series in which we get to know Sifties. Hi, I’m Angela Marrujo, Content Marketing Associate with Sift! This month is my one-year anniversary with the company, so I decided to step out from my role as interviewer and introduce myself. If I could eat just one food for the […]
- [Siftie Spotlight: Bret Blount, Director of Communications](https://sift.com/blog/siftie-spotlight-bret-blount-director-communications/): This is part of a monthly series in which we get to know Sifties. Bret Blount is our Director of Communications and has been with Sift Science for 11 months. If he could eat just one style food for the rest of his life, it would be Mexican. He feels the cuisine is incredibly versatile […]
- [Siftie Spotlight: Chantal Boctor, Contracts and Procurement Manager](https://sift.com/blog/siftie-spotlight-chantal-boctor/): This is part of a monthly series in which we get to know Sifties. Chantal Boctor is our Contracts and Procurement Manager and has been with Sift for eight months. If she could eat just one food for the rest of her life it would be flatbread, both sweet and savory. But if she could […]
- [Siftie Spotlight: Dandrew Cruda, Senior Marketing Manager, Demand Generation](https://sift.com/blog/siftie-spotlight-dandrew-cruda-senior-marketing-manager-demand-generation/): This is part of a monthly series in which we get to know Sifties. Dandrew Cruda is our Senior Marketing Manager, Demand Generation, who has been with Sift Science for five months. If he could eat just one food for the rest of his life, it would be ice cream. Specifically, Thrifty’s Chocolate Malted Krunch […]
- [Siftie Spotlight: Freda Kreitzer, IT Specialist](https://sift.com/blog/siftie-spotlight-freda-kreitzer-specialist/): This is part of a monthly series in which we get to know Sifties. Freda Kreitzer is our IT Specialist and has been with Sift Science for 10 months. If she could eat just one food for the rest of her life, it would be a tie between Thai and Mexican food. Making the choice […]
- [Siftie Spotlight: Jeff Sakasegawa, Trust and Safety Architect](https://sift.com/blog/siftie-spotlight-jeff-sakasegawa-trust-and-safety-architect/): This is part of a monthly series in which we get to know Sifties. Jeff Sakasegawa is a Trust and Safety Architect at Sift and has been with us for one year. If he could eat one food for the rest of his life, it would be sushi. “I admit my bias as a Japanese-American, […]
- [Siftie Spotlight: Kyle Kwon, Support Engineer](https://sift.com/blog/siftie-spotlight-kyle-kwon-support-engineer/): This is part of a monthly series in which we get to know Sifties. Kyle Kwon is a Support Engineer and has been with Sift Science for six months. If he could eat just one food for the rest of his life it would be burritos, because they’re versatile! Not everything can be eaten for […]
- [Siftie Spotlight: Lauren Stasko, Senior Program Marketing Manager](https://sift.com/blog/siftie-spotlight-lauren-stasko-senior-program-marketing-manager/): This is part of a monthly series in which we get to know Sifties. Lauren Stasko is our Senior Program Marketing Manager and has been with Sift for 11 months. If she could eat just one food for the rest of her life, it would be hummus. Just with a spoon, no other foods needed […]
- [Siftie Spotlight: Madison Majerle, Account Manager](https://sift.com/blog/siftie-spotlight-madison-majerle-account-manager/): This is part of a monthly series in which we get to know Sifties. Madison Majerle is one of our account managers and has been with Sift Science for a year and three months. If she could eat just one food for the rest of her life, it would be her mother’s homemade meatballs! There’s […]
- [Siftie Spotlight: Maya Meyers, Front Desk Ambassador](https://sift.com/blog/siftie-spotlight-maya-meyers-front-desk-ambassador/): This is part of a monthly series in which we get to know Sifties. Maya Meyers is Front Desk Ambassador at our San Francisco office and has been with Sift Science for eight months. If she could eat just one food for the rest of her life, it would be french fries. She eats them […]
- [Siftie Spotlight: Patrick Marx, Staff Software Engineer](https://sift.com/blog/siftie-spotlight-patrick-marx-staff-software-engineer/): This is part of a monthly series in which we get to know Sifties. Patrick Marx is a Staff Software Engineer and has been with Sift for two years. If he could eat just one food for the rest of his life, it would be pho, because it’s delicious and wouldn’t be too hard on […]
- [Siftie Spotlight: Rachel Xiao, Technical Recruiter](https://sift.com/blog/siftie-spotlight-rachel-xiao-technical-recruiter/): This is part of a monthly series in which we get to know Sifties. Rachel Xiao is a Technical Recruiter here at Sift and has been with us for a year and four months. If she could eat only one food for the rest of her life, it would be noodles. She loves noodles – […]
- [Siftie Spotlight: Ricky Franklin, Account Executive](https://sift.com/blog/siftie-spotlight-ricky-franklin-account-executive/): This is part of a monthly series in which we get to know Sifties. Ricky Franklin is an account executive at Sift Science and has been with us for 11 months. If he could eat just one food for the rest of his life, it would be a classic, all-American breakfast: eggs (scrambled with queso), […]
- [Siftie Spotlight: Sameer Jauhar, Business Development Representative](https://sift.com/blog/meet-sameer-business-development-representative/): This is part of a monthly series in which we get to know Sifties. Sameer Jauhar is a Business Development Representative who has been with Sift Science for 10 months. If he could eat just one food for the rest of his life, it would be his mother’s parathas. They remind him of his childhood, […]
- [Signs of Fraud in Shipping Addresses](https://sift.com/blog/signs-of-fraud-in-shipping-addresses/): For merchants who ship physical goods, the shipping address provided by the buyer can be a rich source of information. What’s the Relationship Between the Billing and Shipping Addresses? The simplest comparison you can make between two addresses is to see whether they’re identical. Orders shipping to an address other than the billing address are […]
- [Special report: Fighting fraud in the age of AI and automation](https://sift.com/blog/special-report-fighting-fraud-in-the-age-of-ai-and-automation/): See findings from Sift’s Q2 2023 Digital Trust & Safety Index, which includes data and insights on how AI and automation are changing the scope of fraud.
- [SPF 100: Stop Payment Fraud this Summer so You Don’t Get Burned](https://sift.com/blog/spf-100-stop-payment-fraud-this-summer-so-you-dont-get-burned/): Discover why fraud rates skyrocket during the summer months, the impact of lockdown emergence and reopening, and practical tips you can use to avoid getting burned.
- [Spring 2019 Release: Enterprise Trust & Safety](https://sift.com/blog/spring-2019-release-enterprise-trust-safety/): Leading brands delight their users with frictionless experiences. Sift powers these experiences for thousands of sites, fueling top-line growth while also protecting them from fraud and abuse. But fraud and abuse aren’t the only elements of risk. Launching products, expanding to new markets, and building out larger teams create operational complexity that can also hinder […]
- [Spring 2020 Release: A Connected Ecosystem](https://sift.com/blog/spring-2020-release-a-connected-ecosystem/): Sift Connect, Insult Monitor, the Sift Partner Program, and more – we're launching a powerful ecosystem dedicated to fighting fraud while creating quality experiences for trusted users.
- [Spring 2021 Release: Steadfast Preparation](https://sift.com/blog/spring-2021-release/): In our Spring 2021 Release, we’re excited to launch new fraud-fighting features that provide seamless and speedy service to our customers.
- [Spring 2023 Sift Product Release: Smarter, more flexible fraud prevention](https://sift.com/blog/spring-2023-sift-product-release-smarter-more-flexible-fraud-prevention/): Effectively combating fraud is not a one-size-fits-all effort. It’s critical for trust and safety solutions to be both flexible and powerful so that the teams using them can stay accurate and agile.    Sift’s latest product release puts transparency and control front and center, giving fraud teams additional levers to pull and more insights to indicate […]
- [Steve Love on Joining Sift as Chief Financial Officer](https://sift.com/blog/steve-love-sift-chief-financial-officer/): Stepping into the role of Chief Financial Officer at Sift is both a personal and professional milestone for me, even after thirty years as an enterprise finance executive. As the leading company delivering AI-powered risk decisioning, Sift has a great mission, great product, and expert executive team. We also have a known legacy of early […]
- [Stop bad content before it’s posted, and build better communities](https://sift.com/blog/stop-bad-content-build-better-communities/): A listing that leads to a phony or non-existent product, apartment, or job. Spammy or abusive comments polluting your dating app or community. Messages from fraudulent sellers luring your buyers offsite… Sound familiar? Trust is difficult to earn, but easy to lose – and if you’re a community or marketplace, the integrity of your site […]
- [Stop Insulting Your Customers with False Positives](https://sift.com/blog/customer-insult-survey/): 73% of repeat customers have had a transaction falsely declined. It's time to stop insulting your customers and sending them to your competition.
- [Stop the Drip: Uniting Fragmented Account Takeover Challenges & Operations](https://sift.com/blog/q4-2024-product-updates/): Fraudsters no longer need the dark web to pull off their schemes. The proliferation of apps like Telegram and TikTok, along with advancements in generative AI, have enabled even amateur fraudsters to become skilled cybercriminals. As a result, account takeover (ATO) is causing significant disruption for businesses across markets.  In 2023 alone, ATO fraud led […]
- [Streaming Fraud: What it is and How it Works](https://sift.com/blog/streaming-fraud-what-it-is-and-how-it-works/): Streaming fraud happens when users exploit streaming platforms by violating policies, creating multiple accounts, or manipulating access, most commonly to share account passwords with others to avoid paying for additional subscriptions or to bypass content restrictions. In some cases, scammers gain unauthorized access to accounts through account takeovers, using stolen credentials to stream content or […]
- [Strengthening Fraud Operations During Economic Uncertainty](https://sift.com/blog/how-to-strengthening-fraud-operations-during-economic-uncertainty/): Discover insights from our recent Sift webinar on strengthening fraud operations during economic uncertainty.
- [Subscription Fraud: Inside the Rising Threat of Hidden Scams](https://sift.com/blog/how-to-spot-and-stop-subscription-fraud/): Subscription fraud can cause havoc for businesses that utilize a subscription model if not carefully handled.  Preventing payment fraud is essential, but minimizing false positives is just as critical to avoid blocking trusted customers, losing revenue, and damaging trust. Businesses can lose an estimated 10% of their revenue from false positives, and a report from […]
- [Summer 2019 Release: Intelligent Performance](https://sift.com/blog/summer-2019-release-intelligent-performance/): Frictionless experiences like one-click checkout and instant delivery used to be competitive differentiators. Now, with more companies rallying for their share of the growing e-commerce market, they’re becoming a competitive necessity. Nearly half of consumers say they immediately search other sites if they encounter friction while making a purchase. Leading companies are adopting Digital Trust […]
- [Summer 2020 Release: Information-Driven Impact](https://sift.com/blog/summer-2020-release/): Discover new Sift fraud-fighting feature releases, including chargeback data visualization, easy Verification configuration, case comments, and more!
- [Sync with Sift and Fintech Leaders at Money20/20 Las Vegas](https://sift.com/blog/sync-with-sift-and-fintech-leaders-at-money20-20-las-vegas/): Heading to Money20/20 Las Vegas this October? Meet Sift’s fintech fraud experts, engage with leading fintech companies using Sift to preserve revenue and fuel growth, and join our risk and product leaders for thought leadership sessions and demos throughout the event. When and Where to Find Us Sift will be located at booth #1301 in […]
- [Synthetic Identity Fraud: Why It’s the Fastest-Growing Financial Crime](https://sift.com/blog/synthetic-identity-fraud-why-its-the-fastest-growing-financial-crime/): Synthetic identity fraud (SIF) has quietly become one of the most costly and fastest-growing types of financial crime in the UK. Unlike traditional identity theft, where real customer data is stolen and misused, synthetic fraud involves fabricating new identities using a blend of real and fake information, making it notoriously hard to detect. According to […]
- [Tackling the Fraud Economy with Sift’s Fraud Intelligence Center](https://sift.com/blog/tackling-the-fraud-economy-with-sifts-fraud-intelligence-center/): Explore Sift’s Fraud Intelligence Center to get the latest fraud data, trends, and expert analysis.
- [Talking Fraud Trends and a Trust and Safety Mindset with Brittany Allen, Trust and Safety Architect](https://sift.com/blog/talking-fraud-trends-and-a-trust-and-safety-mindset-with-brittany-allen-trust-and-safety-architect/): Our new Trust and Safety Architect discusses fraud challenges, the importance of a Trust and Safety mindset, and being on the frontlines of fighting fraud.
- [Talking Growth and Digital Trust & Safety at MRC 2019](https://sift.com/blog/talking-growth-and-digital-trust-safety-mrc-2019/): We spoke with Patreon at MRC Vegas 2019 to learn how Trust & Safety is driving growth within their organizations.
- [Testing Trust in Prediction Markets | Part 1](https://sift.com/blog/testing-trust-in-prediction-markets-pt-1/): This April, U.S. federal prosecutors charged an Army sergeant with using sensitive classified information to bet on Polymarket that U.S. ​forces would enter Venezuela and remove Maduro from power. About the same time, Kalshi disclosed that it had fined and suspended three congressional candidates for five years after they traded on prediction markets tied to […]
- [Testing Trust in Prediction Markets | Part 2](https://sift.com/blog/testing-trust-in-prediction-markets-pt-2/): Missed Part 1? Read it here. Prediction markets make a bold claim that they are engines of truth discovery. Proponents argue that by aggregating collective judgment, prediction markets generate forecasts that are far more valuable than traditional gambling or sports betting. While that claim has merit, a prediction market’s output is not merely a well […]
- [Thanks, Obama! (No really, thank you. It’s a great start.)](https://sift.com/blog/thanks-obama/): In this digital age, online identities and ecommerce orders come and go at the speed of light. Too often, cyber security experts must play catch-up. Effective use of data can shed light on the ever-evolving intricacies of cyber threats, but the decision-makers must understand exactly what needs to be secured in order to protect it. Recent legislative action marks progress and a step in the right direction but does it protect consumers from the biggest threats?
- [The “Refund Hack” Economy: Why E-Commerce Chargebacks Surged in 2025](https://sift.com/blog/the-refund-hack-economy-why-e-commerce-chargebacks-surged-in-2025/): As we enter the critical holiday shopping season, businesses are facing new and emerging challenges with first-party fraud. Sift’s Q4 2025 Digital Trust Index shows that chargeback rates climbed steadily throughout 2025, reaching 0.26% in Q3, a 53% increase from Q1 2025. Retail e-commerce chargeback rates have exploded by 233% since Q1 2025, the highest […]
- [The 12 Stats of Christmas](https://sift.com/blog/stats-holiday-fraud/): Whether you’re a fraud analyst or a fraudster (which we hope you’re not!), this is the busiest time of year. It can be hard to wrap your head around the magnitude of holiday e-commerce – let alone the fraud. How much stuff are people buying on their computers and phones? And how many of those […]
- [The AI Transformation is Reshaping Global Fraud. Are You Ready for the Risk?](https://sift.com/blog/the-ai-transformation-is-reshaping-global-fraud-are-you-ready-for-the-risk/): I don’t have a peer conversation these days that doesn’t at least touch on the disruptive presence and power of AI. Like every tech breakthrough before it, AI’s allure is rooted in its potential—putting business leaders in the unique, challenging position of balancing compounding risk of adoption with the untapped opportunity it offers.  What we’re […]
- [The Art & Science of Dynamic Friction: Powering Protection and Growth at Scale](https://sift.com/blog/the-art-science-of-dynamic-friction-powering-protection-and-growth-at-scale/): Mention “airport security” to the modern jet-setter, and frustrated groans are likely to be the response. Even with the knowledge that this slow, clunky process of getting through a mile-long lineup is for the protection of everyone traveling, most flyers still wish it was done differently. Because the process doesn’t discriminate (or discriminates against everyone, […]
- [The Authorization, Billing, and Dispute Life Cycle](https://sift.com/blog/auth-billing-dispute-cycle/): When someone orders a pair of shoes online, a number of unseen steps occur between that customer clicking “Submit Order” and the merchandise arriving on their doorstep. In addition to the customer and the merchant, there are other essential parties involved in any online transaction: The Players First, when the customer clicks “Submit Order,” the […]
- [The Detective and the Commando: Hiring in Digital Trust & Safety](https://sift.com/blog/the-detective-and-the-commando-hiring-in-digital-trust-safety/): Looking to hire Digital Trust & Safety (DT&S) team members? You’ll be joining the ranks of Google, Facebook, Airbnb, Uber, Twitter, and Patreon: disruptive, digital-first companies that have recognized trust is woven into their business’s DNA. DT&S is an innovative approach to balancing revenue and risk. Instead of separating user experience from user safety, DT&S […]
- [The Digital Trust & Safety Deficit](https://sift.com/blog/the-digital-trust-safety-deficit/): For years, most businesses have treated fraud-fighting as synonymous with fraud mitigation. Fraud and risk teams are set up to keep losses down by manually reviewing transactions, figuring out which users are likely to be fraudsters and which are likely to be honest customers. The bulk of a team’s time is spent examining discrete customer […]
- [The Digital Trust & Safety Mindset](https://sift.com/blog/the-digital-trust-safety-mindset/): If you ask most risk management teams about their goal, they’ll say the same thing: having a safety-first mindset to prevent loss. Their organizational structures, processes, and tools exist to serve that goal. In fact, legacy fraud prevention aims exclusively to reduce risk rather than to encourage growth. Legacy fraud prevention systems kill growth by […]
- [The Evolving Fraud Economy: How AI is Reshaping Digital Risks](https://sift.com/blog/the-evolving-fraud-economy-how-ai-is-reshaping-digital-risks/): While businesses continue to debate important issues about the ethics of AI and advanced automation, the Fraud Economy has been silently reinventing itself in the background. This vast, interconnected network of cybercriminals is now building and selling AI-powered products designed to commit fraud more efficiently and effectively than ever. Without restrictions, AI tools can allow […]
- [The First Rule in Fighting Fraud: Rules Can Fail](https://sift.com/blog/the-first-rule-in-fighting-fraud-rules-dont-work/): If you've ever seen the movie Fight Club, then you know that the first rule of Fight Club is, "You do not talk about Fight Club."  The second rule of Fight Club is, "You do not talk about Fight Club." Apparently, they didn't trust that people would follow the first rule, so they made the second rule the same as the first.  While I'm not sure that doubling the rule would actually doubly enforce the rule, it did effectively send the message that Fight Club members were forbidden to talk about Fight Club.
- [The Fraud Landscape Has Shifted—But Not Where You’d Expect](https://sift.com/blog/the-fraud-landscape-has-shifted-but-not-where-youd-expect/): ​Transaction volume across the Sift Global Data Network grew 18% in 2025, while payment fraud attempt rates held steady at around 3.25%.* This steadiness shows better transaction monitoring and controls, even as new payment methods expand fraud opportunities. ​Yet this apparent stability at checkout masks another trend: a surge in fraud attempts that occur a […]
- [The Future of Fraud Fighting – The eBook](https://sift.com/blog/the-future-of-fraud-fighting/): Calling all Fraud Fighters: do you know what the future holds in stopping fraud and growing your business?Machine learning-based solutions are leading the charge against fake accounts, credit card fraud, and chargebacks. Fraud fighters worldwide are learning to harness the power of big data and customizing artificial intelligence in order to predict fraud before it happens. 
- [The Good, the Bad, and the Ugly: What Will 2019 Bring for Fraud?](https://sift.com/blog/the-good-the-bad-and-the-ugly-what-will-2019-bring-for-fraud/): Landmark events and advances in fraud, abuse, and risk management came out of 2018. We experienced some of the largest data breaches to date, made strides towards greater data regulation via GDPR, and saw some of the world’s biggest companies face public outcry over the mishandling of sensitive user information. Fraud isn’t going anywhere in […]
- [The League of Extraordinary Fraud Fighters](https://sift.com/blog/the-league/): The night: A crisp San Francisco eve. Waves crash upon the Embarcadero while ferries slice their way through the harbor. The Bay Bridge provides a few last twinkles, illuminating the faces of the League of Extraordinary Fraud Fighters as they gather atop their tower in relative stealth. You’re welcome here, among a motley crew of rag-tag vigilantes holding forum deliberating on how best to beat villainous fraudsters using their most powerful weapon - The Sword of Sift. With flavorful falafel and a bevy of beers (or wine, for the fancier among our humble crowd) in-hand, so begins Sift Science’s latest Customer Meetup.
- [The Many Faces of Content Abuse](https://sift.com/blog/content-abuse-overview/): The Power of User-Generated Content User-generated content (UGC) is the lifeblood of online marketplaces and communities. Businesses like Twitter, Pinterest, YouTube, Airbnb, and Indeed are built around UGC. That means if they can’t entice people to contribute to their site, then they simply don’t have a business. And when a company’s future is in the […]
- [The Next Evolution of Risk Intelligence: Integrating Global, Industry, and Business Insights](https://sift.com/blog/the-next-evolution-of-risk-intelligence-integrating-global-industry-and-business-insights/): The global Fraud Economy is increasingly interconnected, leveraging generative AI, social media, and the dark web to accelerate the widespread adoption of fraudulent practices. This shift towards the democratization of fraud is helping make even the most basic fraudsters—and even laymen fraudsters—professional-grade and borderless in their operations, posing significant challenges for businesses trying to keep […]
- [The Next Stage of E-Commerce: What is Agentic Commerce?](https://sift.com/blog/blog-what-is-agentic-commerce/): Agentic commerce is the next evolution of AI in commerce. It’s an emerging term that refers to the use of AI agents that act on behalf of consumers to perform tasks, make decisions, and execute transactions in e-commerce environments.  Unlike traditional AI tools, which require direct input for each interaction, agentic systems operate with a […]
- [The Operational Blueprint for Modern Fraud Teams: How to Design a Fraud Organization That Actually Scales](https://sift.com/blog/the-operational-blueprint-for-modern-fraud-teams/): I’ve spent nearly two decades building fraud and Trust & Safety organizations. I started at Google, went to Square, hopped to Facebook (Meta), and finally landed at Sift, where I work closely with hundreds of fraud teams across some of the most complex risk challenges in the world. In all that time, a question I […]
- [The Problem with Static PII Identification](https://sift.com/blog/problem-static-pii-identification/): We’ve all been there. You’ve logged into this site a thousand times, but today there seems to be some doubt that you are who you say you are. None shall pass before answering some security questions. What’s your mother’s maiden name? What street do you live on? Companies must put these barriers in place because […]
- [The Strategic Implications of Fraud in Your Digital Transformation Journey](https://sift.com/blog/the-strategic-implications-of-fraud-in-your-digital-transformation-journey/): Digital transformation is no longer optional—it underpins scale, efficiency, and customer engagement in every consumer business. CFOs sit at the center of this shift, accountable not only for financial performance but also for directing the infrastructure investments that make sustainable growth possible. Yet one critical area is too often overlooked in transformation planning: fraud prevention. […]
- [The Success Story of PayPal [Infographic from Play-N-Pay]](https://sift.com/blog/the-success-story-of-paypal-infographic-from-play-n-pay/): The infographic goes through a brief history of PayPal, its current standing and statistics, and a demographic breakdown of its users.
- [The Summary of Sift in Fall 2014](https://sift.com/blog/the-summary-of-sift-in-fall-2014/): It's been a whirlwind of a fall for Sift Science. Twelve-plus events in 3 months -- including incredible tech talk opportunities, university visits, and interesting conferences -- helped us to close out our 2014 push. What are your favorite events to attend? What tech talk should Sift host next?Join us on this recap of our fall, where we fell in love.... With great new friends, places, potential Sifties, and Sifterns!
- [The Top 5 Valid Reasons to Dispute a Charge](https://sift.com/blog/the-top-5-valid-reasons-to-dispute-a-charge/): In 2023, the global economy witnessed 238 million chargebacks, with projections indicating that this will surge to 337 million by 2026. These disputes inflict substantial damage on businesses, resulting in annual losses of hundreds of billions of dollars through fees and damaged customer loyalty. Companies unable to curb rising chargeback rates face significant consequences, including […]
- [The True Cost of e-Commerce Fraud For A Store Owner](https://sift.com/blog/the-true-cost-of-e-commerce-fraud-for-a-store-owner/): How do experts measure fraud? A recurring theme in any fraud-centric conversation is how to comprehend its total costs. Throughout my 12 years in e-Commerce, I’ve worked with countless merchants and their many partners in finance, operations, and marketing. Too often, businesses push fraud to the back-burner, not realizing its true costs. The reality is that the impact of e-Commerce fraud on a merchant’s bottom line is deeply damaging. In this post, I’ll share a real-world example to better illustrate the true cost of fraud.  
- [The USA has more e-commerce fraud than Nigeria](https://sift.com/blog/global-e-commerce-fraud/): Sift Science customers hail from all six habitable continents (On that note, let us know if you know any Antarctica startups...]. We’re seeing e-commerce fraud activity from practically everywhere as well, Albania to Vietnam. Since the Sift Science team includes quite a few data geeks who love #uberdata and OkCupid’s OkTrends blog, we thought we’d share a visualization of our global fraudulent transactions. What sort of fraud are we seeing? That deserves its own post (coming soon), but there are three major types: payment fraud (e.g. using stolen credit cards to buy goods), new account fraud (i.e. creating an account to do illicit stuff like money laundering) and account takeover (i.e. using someone's existing account to do illicit stuff).
- [The Visa Chargeback Monitoring Program and Fraud: What to Know](https://sift.com/blog/visa-chargebacks-what-to-know/): Online transactions have made payments faster and more convenient, but also more attractive to a new generation of fraudsters. To protect both consumers and merchants, payment providers like Visa employ a series of programs to detect fraud early, handle chargebacks, and manage disputes.  One of the more recent implementations of Visa’s fraud detection efforts was […]
- [The World Cup of Fraud: How Match-Day Payouts Spike Cash-Out Fraud](https://sift.com/blog/world-cup-of-fraud-cash-out-fraud/): The World Cup is the biggest betting event on the calendar. Global wagering on this year’s tournament is already on track to exceed $50 billion, forecast to be the biggest gambling event in history. That also means it’s the most anticipated opportunity for fraud rings.  Sports betting platforms know the withdrawal spikes are coming. Every […]
- [Tips and Tricks for Hospitality Disputes](https://sift.com/blog/tips-and-tricks-for-hospitality-disputes/): Amex put together a checklist to help hospitality merchants handle and avoid disputes. This post dives deeper into their suggestions.
- [To Understand Today’s Fraud Economy, Look Beyond the Averages](https://sift.com/blog/to-understand-todays-fraud-economy-look-beyond-the-averages/): Transaction volume across the Sift Global Data Network grew 15.2% from Q1 2025 to Q1 2026, and the topline fraud numbers improved alongside it. Global payment fraud block rates fell and account takeover (ATO) rates dropped 28% year over year. For teams watching aggregate trends, the picture looks encouraging. Averages describe a fraud landscape getting […]
- [Tokens are work’s new currency. Fraud got there first.](https://sift.com/blog/tokens-are-works-new-currency-fraud-got-there-first/): Anthropic sells Claude Opus input tokens for between $4 to $5 per million, depending on model version. On Taobao, resellers move the same access for a fraction of that price, sometimes as little as 10% of the list price. That gap doesn’t close itself. Something is funding it, and it isn’t one thing. It’s several […]
- [Top Fraud Findings From Crypto Expo Asia 2022](https://sift.com/blog/top-fraud-findings-from-crypto-expo-asia-2022/): Discover top fraud trends from Crypto Expo Asia 2022 in Singapore where Sift was awarded Best Digital Trust & Safety Technology Provider.
- [Top Fraud Risks & Growth Drivers for Internet & Software](https://sift.com/blog/top-fraud-risks-growth-drivers-for-internet-software-and-services/): The total value of online software and services transactions is likely to reach at least $135 billion by the end of 2024. The rapid expansion of digital sales and shift in consumer preferences offer immense opportunities to internet and software businesses.  However, the benefits of virtual transactions, such as the lack of physical products, instant […]
- [Top insights from SiGMA Malta to uplevel your 2024 iGaming fraud prevention strategy](https://sift.com/blog/top-insights-from-sigma-malta/): Discover insightful takeaways from SiGMA Malta to inform your iGaming revenue protection strategies heading into 2024.
- [Top takeaways from Money20/20 Amsterdam 2023](https://sift.com/blog/top-takeaways-from-money20-20-amsterdam-2023/): Discover top insights from Money20/20 Amsterdam 2023, including the future of payment orchestration and the expansion of Sift’s Partner Program.
- [Top takeaways from Money20/20 USA: KYC risk, fintech fraud, and the evolving payments ecosystem](https://sift.com/blog/top-takeaways-from-money20-20-usa-kyc-risk-fintech-fraud-trends/): Money 20/20 USA recently brought together finance and tech leaders to share insights into the rapidly changing world of financial technology. As the event unfolded, key insights and takeaways emerged that are poised to shape the future of fintech. Let’s delve into the future-forward findings that emerged from Money 20/20 USA. KYC SOS  A clear […]
- [Top takeaways from MPE Berlin 2023](https://sift.com/blog/top-takeaways-from-mpe-berlin-2023/): Discover insights and key takeaways from MPE Berlin 2023, including emerging fraud trends and the future of payments.
- [Top takeaways from MRC Barcelona 2023](https://sift.com/blog/mrc-barcelona-2023-marketplace-fraud-psd2-takeaways/): MRC Barcelona 2023 is in the books. Key themes included marketplace fraud, first-party fraud, and payment card industry trends. Read the blog to learn key insights from this conference.
- [Top takeaways from MRC Vegas 2023](https://sift.com/blog/top-takeaways-from-mrc-vegas-2023/): Sift’s Trust and Safety Architects share their top takeaways and insights from MRC Vegas 2023.
- [Top takeaways from Sift’s live session with Forrester on selecting the right digital fraud management partner](https://sift.com/blog/top-takeaways-from-sifts-live-session-with-forrester-on-selecting-the-right-digital-fraud-management-partner/): In this live session with Sift and Forrester, panelists share key perspectives on selecting a digital fraud management partner for your business.
- [Top takeaways from TrustCon 2023](https://sift.com/blog/top-takeaways-from-trustcon-2023/): Discover insights from TrustCon 2023, including generative AI's role in fraud prevention and content moderation.
- [Top Takeaways: The C-Suite Imperative for Online Fraud Management](https://sift.com/blog/top-takeaways-the-c-suite-imperative-for-online-fraud-management/): In today’s digital-first world, online fraud management is no longer a back-burner concern—it’s a critical business priority that can either propel or hinder growth. During our recent webinar, industry leaders Andras Cser, Vice President and Principal Analyst at Forrester Research, and Alex Bolante, National Managing Director at Deloitte & Touche LLP joined Sift Chief Marketing […]
- [Tracking the Evolution of Payment Fraud in 2025](https://sift.com/blog/tracking-the-evolution-of-payment-fraud-in-2025/): Payment fraud has become an increasingly sophisticated threat. Insights from our recent webinar offer a closer look at emerging trends and strategies to address changing risk. The Rising Tide of Payment Fraud If fraud were a business, it would be one of the largest and fastest-growing industries in the world. E-commerce fraud is expected to […]
- [TRANSACT 2022: Key learnings for merchants and payment providers](https://sift.com/blog/transact-2022-key-learnings-for-merchants-and-payment-providers/): Security that can meet the standard of speed required by consumers—and the scalability prized by merchants—is top of mind. Recent reports from Microsoft and other tech pillars center fraud prevention as a strategic objective as news of breaches against alternative payments providers continues to make headlines. Sift’s team of Trust and Safety Architects attended TRANSACT […]
- [Trust and Safety Architect Jane Lee on Misinformation, Investigative Thinking, and Making an Impact](https://sift.com/blog/trust-and-safety-architect-jane-lee/): Meet Sift’s newest Trust and Safety Architect, Jane Lee—once an insurance fraud P.I., now an expert in designing scalable detection systems to combat fraud.
- [Trust Is Social, But Social Doesn’t Equal Trust](https://sift.com/blog/trust-is-social-but-social-doesnt-equal-trust/): What does trust mean to you online? What are the signals that identify a trustworthy person, and what’s the best way to quantify that? Adriana Stan, the public relations director at W Magazine, wrote an interesting piece in TechCrunch about what the future of trust looks like, and  what that means for companies and consumers […]
- [Understanding Authorized Push Payment (APP) Fraud and the New Consumer Protections](https://sift.com/blog/understanding-authorized-push-payment-app-fraud-and-the-new-consumer-protections/): Authorized Payment (App) fraud is an increasingly common type of social engineering scam, where fraudsters trick consumers or businesses into sending money to accounts they control. Unlike other forms of fraud, APP scams rely on convincing the victim to authorize a legitimate-looking payment, making the situation far more complicated when it comes to recovering lost […]
- [Understanding online fraud prevention solutions](https://sift.com/blog/choosing-fraud-prevention-solution/): Discover the common types of online fraud prevention solutions and how to evaluate their capabilities.
- [Unlocking FIBR Insights: Critical New Metrics on Fraudulent Payment Methods](https://sift.com/blog/new-fibr-metrics-on-fraudulent-payment-methods/): Last year, we launched FIBR, the first Fraud Industry Benchmarking Resource of its kind. Powered by the Sift Global Data Network, the tool equips businesses with essential fraud data and insights, helping them understand how various fraud trends impact similar businesses.  The tool allows anyone to see average payment fraud attack rates, general chargeback rates, […]
- [Unlocking Growth Through Fraud Prevention: Key Insights for Finance Leaders](https://sift.com/blog/unlocking-growth-through-fraud-prevention-key-insights-for-finance-leaders/): Finance leaders today face mounting challenges: driving growth, reducing costs, and enhancing operational efficiency with increasingly constrained budgets. One often-overlooked yet critical strategy in achieving these goals is robust fraud prevention. During Sift’s recent webinar, “Finance and the Future of Risk,” I was joined by leaders from Deloitte and Texas Roadhouse to discuss how finance […]
- [Ushering in the Era of AI-Powered Fraud Decisioning](https://sift.com/blog/the-era-of-ai-powered-risk-decisioning/): “If you know the enemy and know yourself, you need not fear the result of a hundred battles.” -Sun Tzu, The Art of War With the explosive arrival of mainstream Artificial Intelligence and Generative AI platforms, fraud actors have the upper hand in the battle for digital trust and safety. With these tools freely available, […]
- [Velocity Detection](https://sift.com/blog/velocity-detection/): If fraudsters were content to place a single order and then leave the targeted merchant alone, they would be less of a nuisance but much harder to detect. Looking at patterns of how different transactions are related in time can help highlight which orders are riskier than others. Basic Velocity Check: How Much Money Has […]
- [Visa Chargeback Changes and VMPI: What merchants need to know](https://sift.com/blog/visa-chargeback-changes-merchants/): For years, card-not-present merchants have felt like the chargeback process is unfair, unclear and untimely. Visa has heard these complaints and criticisms loud and clear, and as a result, have made significant changes. The new program is called Visa Claims Resolution (VCR). The goals of the new program are to: Reduce the time a transaction […]
- [Visa Chargeback Reason Codes](https://sift.com/blog/visa-reason-codes/): Visa’s process introduces four dispute categories and associated numerical labels (Fraud – 10, Authorization – 11, Processing Errors – 12, Consumer Disputes – 13) under which the renamed reason codes will be placed. Take the time to note the following dispute reason codes for Visa. Code Category Description 10.1 Fraud (10) EMV Liability Shift Counterfeit […]
- [Visa Compelling Evidence 3.0 update: what you need to know](https://sift.com/blog/what-you-need-to-know-about-the-visa-compelling-evidence-3-0-update/): Read our Q&A with Kevin Lee, VP of Trust and Safety at Sift, as he explains the new Visa compelling evidence updates and what it means for merchants.
- [Visa is Lowering Chargeback Thresholds: What You Need to Know Now](https://sift.com/blog/visa-mastercard-chargebacks-what-to-know-now/): 180 days. A lot can happen in that time. For some, “180 days” might conjure the thought of a chargeback arrival curve. For others, it may inspire thoughts about their product roadmap. At Sift, we wanted to highlight something that’s going to happen less than 180 days from today: Visa is lowering its fraud ratios […]
- [Visa’s VAMP: Dispute Threshold Changes and What You Can Do to Prepare](https://sift.com/blog/visas-vamp-dispute-threshold-changes-and-what-you-can-do-to-prepare/): Visa is consolidating multiple fraud and dispute programs into a single new acquirer program called the Visa Acquirer Monitoring Program (VAMP). As the deadline for these changes rapidly approaches, here’s what you need to know. Announced last year and in effect as of April 1, 2025 (enforcement following on Oct 1), the VAMP streamlines and […]
- [We’re honored to win the 2017 MRC Technology Industry Award!](https://sift.com/blog/2017-mrc-technology-industry-award/): The Merchant Risk Council annual conference has always been one of our favorite events of the year. What better opportunity to meet up with customers, prospects, friends, and other vendors to chat about the issues we all care about? This year’s event was extra special for us, as a panel of merchants and industry experts […]
- [We’re Now SOC 2 Type 2 Compliant, Keeping Sift Science Customers Safer Than Ever](https://sift.com/blog/sift-science-soc-2-compliant/): We're proud to announce that we passed our SOC 2 Type 2 audit, formalizing our commitment to data security!
- [What are account takeovers (ATOs)?](https://sift.com/blog/what-are-account-takeovers-ato/): Account takeovers (ATOs) are a type of cyberattack, fraud risk, or identity theft that results in the unauthorized access of an account, typically through the use of stolen credentials. Once an account has been compromised, it may be used to launch additional attacks, make fraudulent purchases or transactions, or steal valuable information. In the first […]
- [What are AI Scams and How Do You Stop Them?](https://sift.com/blog/what-are-ai-scams-and-how-do-you-stop-them/): Numerous industries worldwide are rapidly adopting generative AI for its capability to write text, create code, and generate photos, videos, and audio; all features that are also proving attractive to fraudsters. The accelerating sophistication of AI scams requires organizations to step up their defenses against bad actors with access to these new tools, meaning businesses […]
- [What are AI Scams and How Do You Stop Them?](https://sift.com/blog/what-are-ai-scams/): Numerous industries worldwide are rapidly adopting generative AI for its capability to write text, create code, and generate photos, videos, and audio; all features that are also proving attractive to fraudsters. The accelerating sophistication of AI scams requires organisations to step up their defences against bad actors with access to these new tools, meaning businesses […]
- [What are the most scammed states?](https://sift.com/blog/fraud-united-states-rankings/): In August of 2013, four accomplices pled guilty to the largest credit card fraud case in United States history. Over the course of several years, they created more than 7,000 false identities, obtained tens of thousands of credit cards, and formed an elaborate network of shipping addresses, where illegally purchased goods were delivered. By the […]
- [What Does Social Say?](https://sift.com/blog/what-does-social-say/): How many Twitter followers do you have? Do you still have a live MySpace profile? When’s the last time that you uploaded a photo to Flickr? The answers to all of these questions provide clues to your authenticity as a “good” online user. But what are some of the indicators that social data can suggest about fraudsters?Shoppers’ social networks -- literally, the digital connections that they have among other internet users -- offer great information on the historical online behavior of their account holders.
- [What Fraud Leaders Need to Build and Scale a Modern Fraud Organization](https://sift.com/blog/what-fraud-leaders-need-to-build-and-scale-a-modern-fraud-organization/): That challenge sat at the center of Sift’s Blueprint session, How to Build and Scale a Modern Fraud Organization, featuring Kevin Lee, Sift’s Field Chief Technology Officer, in conversation with Jerry Hoff, Founder and CEO of AppSec Training. The discussion focused on a question nearly every digital business is facing: how do you scale fraud […]
- [What happened in the world of fraud?](https://sift.com/blog/fraud-roundup-2017-account-takeover/): 2017 was a whirlwind year in just about every way imaginable. Online fraud was no exception! There were data breaches, the fight for net neutrality, the debates surrounding fake content, the Russian hacking scandal…and that’s not even scratching the surface. Let’s get some closure on last year and kickstart this one by taking stock of […]
- [What is a Fraud Decisioning Platform?](https://sift.com/blog/fraud-decisioning-platform/): Every fraud team eventually hits a wall, where they’re juggling an overwhelming number of tools to the point where it’s unclear which tool has successfully stopped a threat. A fraud decisioning platform removes this wall by combining all signals, scoring, and enforcement into one connected system. This simplifies the process so analysts can act on […]
- [What is a Rules Engine and How to Use One with AI](https://sift.com/blog/ai-fraud-decisioning-vs-rules/): As fraud has become more prevalent, the decision on how to combat it has become increasingly divisive. There are numerous to address fraud, and platforms use a wide range of methods to prevent it. While each fraud platform solution may approach decisioning their own way, all of them have a decision engine that enables the […]
- [What is a Transaction Dispute?](https://sift.com/blog/what-is-a-transaction-dispute/): In 2023, 44% of U.S. consumers disputed a purchasebecause it was made by someone else using their payment information. Transaction disputes are on the rise and pose a direct threat to the revenue and reputation of any business with an online presence.  You’ve probably handled transaction disputes before, but do you know the “why” behind […]
- [What is a Transaction Dispute?](https://sift.com/blog/transaction-disputes/): In 2023, 44% of UK consumers challenged a payment because someone else used their card details. Transaction disputes are on the rise and pose a serious threat to both revenue and reputation for any business operating online. You’ve probably dealt with a dispute or two, but do you understand the underlying reasons behind them? For […]
- [What is AI/ML and Why Does it Matter in Fraud Prevention?](https://sift.com/blog/what-is-ai-ml-and-why-does-it-matter-in-fraud-prevention/): Artificial intelligence (AI) and machine learning (ML) have become indispensable tools in the field of online fraud prevention. While these terms are often used interchangeably, they represent distinct concepts with unique applications in safeguarding businesses from fraudulent activities. To effectively leverage the power of AI and ML in your fraud prevention strategy, it’s essential to […]
- [What is an OTP bot?](https://sift.com/blog/what-is-a-one-time-password-bot/): OTPs and 2FA have long been hailed as silver bullets for preventing account takeovers (ATOs). However, 87% of organisations worldwide now face AI-enabled attacks on a daily or weekly basis, and specialised OTP bots are actively exploiting vulnerabilities in these security measures. To protect your business and customers’ accounts, you must be equipped to defend […]
- [What is Big Data (Part I)](https://sift.com/blog/what-is-big-data-part-i/): What is Big Data?What is big data? Many define it in terms of the computing power it requires. To understand what big data is, however, you first need to know what big data means. In this post, we’ll discuss the implications of big data’s meteoric rise.
- [What is Card Testing Fraud and How to Protect Your Business](https://sift.com/blog/what-is-card-testing-fraud-and-how-to-protect-your-business/): Payment fraud continues to pose a significant threat to businesses. E-commerce fraud is expected to rise from $44.3 billion in 2024 to $107 billion in 2029, growing by 141% over that period. Research shows that nearly 90% of businesses saw up to 9% of revenue lost due to fraud.  One of the most prevalent methods […]
- [What is chargeback fraud, detection, and prevention?](https://sift.com/blog/chargeback-fraud/): When a cardholder disputes a transaction with their bank or credit card company with the intent to get something for free, they’re committing chargeback fraud.
- [What is Content Abuse?](https://sift.com/blog/what-is-content-abuse/): Content abuse occurs when scammers create fake user-generated content to defraud a business or another user. Discover the different types of content abuse and how you can prevent it.
- [What is Digital Risk Management?](https://sift.com/blog/what-is-digital-risk-management/): Digital risk management, as the name suggests, refers to putting countermeasures in place to stop the spread of digital risk. Because embracing new technology is imperative for any business that wants to remain competitive in the modern economy, digital transformation is inevitable.  Emerging technology can bring unprecedented growth opportunities, but opens up new digital vulnerabilities […]
- [What is Digital Risk Management?](https://sift.com/blog/digital-risk-management/): Digital risk management, as the name suggests, refers to putting countermeasures in place to stop the spread of digital risk. Because embracing new technology is imperative for any business that wants to remain competitive in the modern economy, digital transformation is inevitable. Emerging technology can bring unprecedented growth opportunities, but opens up new digital vulnerabilities […]
- [What is digital trust, and why is it at risk?](https://sift.com/blog/what-is-digital-trust-and-why-is-it-at-risk/): Digital trust is the confidence that individuals and organizations have in the security, privacy, and ethical practices of digital technologies.
- [What is Fake Account Creation?](https://sift.com/blog/what-is-fake-account-creation/): Fake account creation is a type of fraud that occurs when bad actors create accounts using false or stolen information. They do this to exploit systems, access services, or commit further fraud, and they can cause serious harm to e-commerce platforms, online marketplaces, social networks, and financial apps. They are also alarmingly common. In the […]
- [What is Money Movement?](https://sift.com/blog/what-is-money-movement/): Understanding money movement is crucial for good business. Without understanding how money moves, it’s difficult to protect your assets and customers from fraud. Read on to learn about the different ways money moves, including traditional money movement and new innovations that allow people and businesses to move money more quickly and securely online.  What is […]
- [What is Online Streaming Fraud?](https://sift.com/blog/what-is-online-streaming-fraud/): Fraud costs streaming platforms $9.1 billionevery year as bad actors develop tools to exploit sites at scale. Unchecked fraud leads to significant downstream costs, including disputed transactions and refund abuse. Additionally, it erodes user trust in the integrity and security of streaming platforms. Understanding and addressing streaming fraud is crucial for businesses aiming to reduce […]
- [What is payment fraud?](https://sift.com/blog/what-is-payment-fraud/): Fraudulent activity comes in various forms, many of which are commonplace in today’s digital landscape. One of the most prevalent acts of online fraud includes payment fraud and its subtypes. Payment fraud occurs when a malicious party obtains sensitive payment information from customers or businesses and uses it to steal money or property. While this […]
- [What is return fraud, and how can businesses prevent it?](https://sift.com/blog/what-is-return-fraud-and-how-can-businesses-fight-it/): Understand how returns fraud and refund fraud can cost your business with these insights from Sift’s trust and safety team.
- [What is Risk Prioritization?](https://sift.com/blog/what-is-risk-prioritization/): Every organization faces a diverse range of fraud and risk, from account takeovers to first-party fraud. Even when prioritizing risk management, addressing the wide range of hazards is challenging with limited time and resources.  Read on to learn what risk prioritization is and how you can use it to focus your efforts on where they’re […]
- [What is social engineering? How to prevent ATO](https://sift.com/blog/understanding-social-engineering-and-preventing-account-takeovers/): Social engineering is a common fraud risk that’s leading to a rise in account takeover (ATO) attacks. Learn about these risks and how to detect them.
- [What is the Chargeback Process?](https://sift.com/blog/what-is-the-chargeback-process/): The digital payment sector is experiencing unprecedented growth, with global payment card transactions projected to surpass $79 trillion by 2030. However, this expansion brings with it a significant challenge: chargebacks. These disputes are estimated to cost businesses $180 billion annually, presenting substantial operational and financial risks. The chargeback process is complex, involving multiple stakeholders and […]
- [What is the Democratisation of Fraud?](https://sift.com/blog/the-democratisation-of-fraud/): Advancements in technology have significantly empowered fraud teams, but cybercriminals are becoming increasingly adept at using that same technology to bypass businesses’ preventative measures. Today, it’s easier than ever for anyone with an internet connection to engage in malicious activity, as fraud tools and technologies become more widely accessible. The democratisation of fraud refers to […]
- [What is the democratization of fraud?](https://sift.com/blog/what-is-the-democratization-of-fraud/): The democratization of fraud enables anyone to easily engage in fraudulent activities. Learn more about this growing fraud risk and how to prevent it from impacting your business.
- [What is Transaction Monitoring?](https://sift.com/blog/what-is-transaction-monitoring/): The fraud landscape is becoming increasingly complex as fraudsters exploit new technology and the rise in e-commerce experiences. Account takeovers surged in 2023, and nearly half of consumers have fallen victim to payment fraud in the past 18 months. The situation is fueled by the deep web, which has become a hub for fraud-as-a-service (FaaS) […]
- [What is Trust and Safety?](https://sift.com/blog/trust-and-safety/): Trust and Safety is the practice of protecting the integrity of digital platforms, their users, and the transactions and interactions that take place on them. As a discipline, trust and safety spans fraud prevention, content moderation, abuse prevention, and policy enforcement across the full user journey. For fraud teams and platform operators, it represents a […]
- [What Sift’s Latest Product Release Changes For Your Team Tomorrow](https://sift.com/blog/what-sifts-latest-product-release-changes-for-your-team/): Lots of companies are racing to add “AI-powered” features to their products right now. It’s the trend of the moment, and for some, that’s the whole strategy. When I sit down with actual customers, that’s rarely what they’re asking about. Instead, they ask some version of the same question: what changed in the product this […]
- [When Disruption Hits, Data is Your Best Defense](https://sift.com/blog/when-disruption-hits-data-is-your-best-defense/): Information isn’t just power; it’s reassurance—and because data enables more accurate, strategic business decisions, it’s the most important tool a company has to stay stable and proactive during times of disruption. But fraud is quickly changing shape in the wake of COVID-19, presenting unexpected shifts, new criminal methods, and unique challenges across all e-commerce markets. […]
- [When Fraud Gets Targeted: Q2 2026 Benchmarks Reveal the Shift](https://sift.com/blog/q2-2026-fibr-benchmarks/): The traditional fraud equation has broken. Fewer attack attempts no longer mean lower losses. Q2 2026 benchmarks reveal attackers have shifted from volume tactics to precision targeting of high-value accounts. Fewer transactions reach your systems, but each one costs more when it lands. Sift’s Fraud Industry Benchmarking Resource shows this shift clearly across all major […]
- [When Gift Cards Hit Hard](https://sift.com/blog/when-gift-cards-hit-hard/): How many gift cards do you have just lying around? Is your wallet packed with old gift cards that are worth around $.43 or $2.17? Typically, we give little thought to gift cards, especially when their values are comparatively small. However, did you know that shoppers spent over $30 billion buying just gift cards in 2014?! Although it's hard to see the impact of the $5 Starbucks gift cards that Grandma hands out like candy, when you break down the components of the gift card system, it’s easy to understand how every small card adds up to a major industry.
- [Where Does Fraud Go From Here? How Coronavirus Has Forever Changed the E-Commerce Landscape](https://sift.com/blog/where-does-fraud-go-from-here-how-coronavirus/): COVID-19 has fundamentally changed how we live and conduct business. Where does the e-commerce industry go from here? We take a look at the data.
- [Where Does Online Fraud Come From?](https://sift.com/blog/where-does-fraud-come-from/): Online fraud comes from many channels. Some cases involve individual actors who cause losses through a handful of transactions, while others involve international crime rings coordinating the flow of stolen merchandise through a series of intermediaries. “Friendly” Fraud For many merchants, the majority of chargebacks are for purchases actually made (and for merchandise received) by […]
- [Why are e-commerce payment forms so complicated?](https://sift.com/blog/why-are-e-commerce-payment-forms-so-complicated/): Quick quiz: if your site accepts payments, what do you need to charge a user’s credit card?Just 20 characters: the credit card number and the expiration date.  
- [Why CISOs are Owning Customer Trust at the Identity Layer: Insights from RSA](https://sift.com/blog/ciso-rsa-wrap-up/): Cyber-fraud fusion isn’t a new industry buzzword. It’s a necessary evolution in cybersecurity, where digital trust for customers sits at the intersection of risk and identity. At our recent CISO Live Panel during RSA, it became clear that information security leaders are facing a pivotal choice: take ownership of customer trust and earn a seat […]
- [Why Digital Trust & Safety, Why Now, with Jason Tan](https://sift.com/blog/why-digital-trust-safety-why-now-with-jason-tan/): Fraud is constantly evolving. Sift CEO Jason Tan discusses why the time is now to switch from legacy fraud prevention solutions to Digital Trust & Safety.
- [Why Legacy Fraud Systems Break in Real-Time Commerce](https://sift.com/blog/why-legacy-fraud-systems-break-in-real-time-commerce/): When’s the last time someone stress-tested the assumptions underneath your fraud stack? When we were building Kintana in the late nineties, one of the things that kept us honest was a simple engineering question: what assumptions are baked into this system, and are those assumptions still true? Every architecture makes bets. The ones that survive […]
- [Why Social Media Signals Can’t Stop Sophisticated Fraud](https://sift.com/blog/why-social-media-signals-cant-stop-sophisticated-fraud/): For years, social media data has been marketed as a shortcut to trust. If an email appears tied to a public profile or happens to be used across various online platforms, it must be legitimate—right? Fraudsters are counting on businesses to think so. Fake Reputations, Real Risk On the surface, comparing transaction data to social […]
- [Why Social Media Signals Don’t Equal Consumer Trust](https://sift.com/blog/social-media-signals/): When a social media profile features photos, connections, and a history behind it, it looks like proof a real person is behind it. Fraudsters know this, and they build that appearance on purpose. For fraud teams, treating social presence as a trust signal is one of the fastest ways to approve a transaction that should […]
- [Win the Race Against AI-Driven Fraud: Staying Ahead in a Rapidly Evolving Landscape](https://sift.com/blog/sift-ping-identity-ai-fraud/): Artificial intelligence has long been a transformative force across industries, reshaping everything from customer experiences to operational efficiency. But alongside the benefits comes a darker reality: AI-driven fraud committed by actors adopting and exploiting the latest technologies and techniques.  In a recent panel discussion, I connected with industry leaders to examine how businesses can adapt […]
- [Work faster and smarter with Decisions](https://sift.com/blog/work-faster-and-smarter-with-decisions/): Our customers tell us that boosting efficiency is always top of mind for their teams. That’s why we’re excited to tell you about some updates to how your team can take advantage of Sift Science Decisions to hone your processes, save time, and work better together. How Sift Science Decisions make your team more efficient […]
- [You Down With CNP? Yeah You Know Me!](https://sift.com/blog/you-down-with-cnp/): We really enjoyed our first visit experience at the Card Not Present (CNP) Expo in Orlando! Warm weather, an awesome venue, and incredible company -- what more could we ask for? To those of you that we met at our booth, thanks for stopping by! During the conference, we spoke to many inspiring businesses and attended several interesting talks.The CNP Expo also afforded us the opportunity to present twice, and we were honored to speak in front of and with our peers at the event.  

## Case Studies
- [Atom Tickets Reinvents the Moviegoing Experience with Sift](https://sift.com/resources/case-studies/atom-tickets/): Discover how Atom Tickets reduced fraud-related chargebacks by 40%, cut manual review time by 60%, and improved user trust using Sift’s AI-powered fraud prevention.
- [How an email marketing platform reduced manual review time by over 90%](https://sift.com/resources/case-studies/email-marketing-platform-case-study/): Email marketing platform fraud drove 5,000 hours of manual review a year. See how Sift cut that by 90% and removed 200,000 verification hours.
- [How ChowNow Started Focusing on Growth Instead of Fraud](https://sift.com/resources/case-studies/chownow/): Read this case study to discover how ChowNow started focusing on fearless growth instead of fraud with Sift.
- [How Coffee Meets Bagel Safeguards its Community for Users Truly Looking for Love](https://sift.com/resources/case-studies/coffee-meets-bagel-case-study/): How Coffee Meets Bagel blocks romance scammers with real-time machine learning, protecting daters and speeding up review decisions.
- [How Cozy Creates a Safe Platform for Renters and Landlords](https://sift.com/resources/case-studies/cozy/): How Cozy stopped over $1M in fraudulent rent payments and fake listings with a fraud team of one, automating decisions on Sift Scores.
- [How Creative Market Enables Commerce and Creativity with a Single Click](https://sift.com/resources/case-studies/creative-market/): Learn how Creative Market enables users to buy through one-click checkout, without increasing the risk of fraud on the platform.
- [How Curve Slashed Chargebacks and Streamlined Fraud Review](https://sift.com/resources/case-studies/curve/): How Curve cut chargebacks to a sixth of their former rate without building an in-house rules engine, adding just one fraud hire as it scaled.
- [How Destinia Reduced Friction for Trusted Travelers Across the Globe](https://sift.com/resources/case-studies/destinia/): How Destinia moved from fraud rules to machine learning to cut manual review, expose fraud rings and reduce friction for 2M+ trusted travelers.
- [How doxo Reduced Chargeback Fraud and Streamlined Manual Review with Sift](https://sift.com/resources/case-studies/doxo-case-study/): How doxo reached a 0.0018% accepted fraud rate, a 1.3% manual review rate and 10x ROI across nearly six million bill payments with Sift.
- [How EBTH achieved a streamlined fraud workflow and delightful user experience](https://sift.com/resources/case-studies/ebth/): How EBTH swapped reactive fraud reporting for proactive webhook alerts, protecting auction bidders without extra security checks.
- [How GetMyBoat Fought Chargebacks and Coordinated Fraud Rings](https://sift.com/resources/case-studies/getmyboat-case-study/): How GetMyBoat lifted its chargeback win rate 30% and dismantled fraud rings using Sift network data across IPs and phone numbers.
- [How Harry’s Proactively Stops Fraud](https://sift.com/resources/case-studies/harrys/): Harry's is a direct-to-consumer, e-commerce brand making care products for men. They're taking a proactive approach to focus on growth instead of fraud.
- [How iwantmyname Cut Fraud Losses and Freed Up Time and Resources](https://sift.com/resources/case-studies/iwantmyname/): Before using Sift, iwantmyname was losing 2% of their revenue and spending 30% of their time managing fraud. Learn how they reduced fraud losses by 75%.
- [How KSL Improved Manual Review Efficiency While Reducing Content Fraud](https://sift.com/resources/case-studies/ksl-com/): How KSL cut fraud management time 80% on a classifieds marketplace and unmasked one user running thousands of accounts with network visualization.
- [How Logitravel Serves International Travelers While Keeping Fraud Low](https://sift.com/resources/case-studies/logitravel/): Logitravel's 3rd-party rules-based fraud prevention system couldn't keep up with fraud. Learn how they used Sift to focus on growth instead of fraud.
- [How markt.de keeps its marketplace safe and growing](https://sift.com/resources/case-studies/markt-de-case-study/): See how markt.de, a leading online marketplace in Germany, increased automated decisions by 760% and grew classifieds by 20% within a year.
- [How PartnerStack safeguards its platform and creates a network of trust](https://sift.com/resources/case-studies/partnerstack-case-study/): How PartnerStack stopped a 50,000-account reward-farming attack in a week, saving one vendor $100k and protecting 500+ vendors worldwide.
- [How Paula’s Choice Achieved 6x ROI and Boosted Brand Reputation](https://sift.com/resources/case-studies/paulas-choice-case-study/): Why Paula's Choice switched back to Sift after 11 days on a rules-based tool brought 6x its normal chargebacks, then hit 0.2% and 6x ROI.
- [How PayMongo minimized fraud losses and scaled securely by 10-20x](https://sift.com/resources/case-studies/paymongo-case-study/): How PayMongo brought a 4% dispute rate under control and now clears 10-20x more card transactions, protecting merchants across the Philippines.
- [How Poshmark Reduced Spam and Created a Secure Online community](https://sift.com/resources/case-studies/poshmark/): How Poshmark cut spam content 60-70% and kept 4M+ sellers friction-free using Sift Content Integrity and real-time decisioning workflows.
- [How Qube Money Proactively Blocks Fraud Before it Happens](https://sift.com/resources/case-studies/qube-money-case-study/): How Qube Money stopped identity theft and ATO at signup, blocking 10,000+ fraudulent accounts for a 0.1% fraud rate and 285% ROI.
- [How Remitly Safely Sends Millions of Dollars Overseas Every Month](https://sift.com/resources/case-studies/remitly/): How Remitly replaced 80-100 static rules with machine learning, halving manual reviews and catching 70% of fraud in its top 2% of transactions.
- [How Rently Stays One Step Ahead of ATO and Scams](https://sift.com/resources/case-studies/rently/): How Rently cut ATO 65% and saved six hours of daily review, catching fake IDs and hijacked property manager accounts with Sift Account Defense.
- [How Sift enabled Banxa to securely scale by 30x](https://sift.com/resources/case-studies/banxa-case-study/): Discover how Sift enabled Banxa to reduce scam events by 80-90% with 5x fewer resources and securely scale by 30x.
- [How Sift helps CoinJar protect $300M+ in Crypto Assets](https://sift.com/resources/case-studies/coinjar-case-study/): How CoinJar halved manual review and earned 133% ROI, saving compliance officers four hours a day while protecting 500k crypto users.
- [How Skillshare keeps its platform free of spam and fraud](https://sift.com/resources/case-studies/skillshare/): How Skillshare uncovered teacher-student collusion rings and killed SEO spam pages, saving 8-10 hours of review a week with a team of one.
- [How Studypool Proactively Prevents Fraudsters from Cheating the System](https://sift.com/resources/case-studies/studypool-case-study/): How Studypool stopped students charging back free tutoring and shut down fake accounts using Sift case management, geolocation and linked-account views.
- [How Swan Bitcoin Keeps Loss Rates Down and Stays a Step Ahead of Fraud](https://sift.com/resources/case-studies/swan-bitcoin-case-study/): Find out how Atom Tickets reimagines the most convenient way to plan a night out at the movies and preorder concessions by using Sift
- [How Taptap Send transfers funds instantly and securely across the globe](https://sift.com/resources/case-studies/taptap-send-case-study/): How Taptap Send holds chargebacks at 0.1% with 96% score precision, routing orders to 3DS, block or approve with no engineering involvement.
- [How Traveloka increased real-time bookings and stopped ATO attempts](https://sift.com/resources/case-studies/traveloka/): How Traveloka accepted twice as many orders, cut 3D Secure traffic 3x and caught more ATO by replacing static rules with two custom ML models.
- [How Universe Proactively Stops Abusive User-Generated Content](https://sift.com/resources/case-studies/universe/): Read this case study to find out how Universe proactively stops abusive user-generated content and scams with Sift.
- [How Zoosk Keeps its Community Safe While Improving User Experience](https://sift.com/resources/case-studies/zoosk/): How Zoosk replaced scattered fraud tools with the Sift Score API, streamlining review for 35M members and smoothing subscription checkout.
- [Link Money Spearheads Secure Open Banking and Better User Experiences in the U.S. with Sift](https://sift.com/resources/case-studies/link-money/): How Link Money broke up bank-account rotation fraud rings, saved one ticketing merchant $3M and cut a new merchant's fraud 90% in six weeks.
- [Lunchbox Builds Lasting Customer Loyalty with Sift](https://sift.com/resources/case-studies/lunchbox-case-study/): How Lunchbox stopped 63,000 fraudulent orders in 48 hours during a coordinated BIN attack, avoiding $1.5M in losses across 5,000 restaurants.
- [Patreon Accelerates Global Growth While Keeping Creators Safe with Sift](https://sift.com/resources/case-studies/patreon/): How Patreon reached 19x ROI and a 99% new user acceptance rate, stopping stolen-card fraud on real-time payouts as it expanded globally.
- [Reward Gateway | Edenred Accelerates Employee Reward Experiences and Optimizes Security Initiatives with Sift](https://sift.com/resources/case-studies/reward-gateway-edenred-case-study/): How Reward Gateway | Edenred cut manual reviews 66% at 99.97% decision accuracy, holding fraud 5-6x below Visa fraud monitoring thresholds.
- [Smartproxy Created a Better User Experience and Reduced Customer Friction with Sift](https://sift.com/resources/case-studies/smartproxy-case-study/): How Smartproxy cut account review time 99% and support emails 96%, automating multi-account and VPN checks with customizable Sift Workflows.
- [Turo Improves Customer Experience and Efficiency with Sift](https://sift.com/resources/case-studies/turo/): How Turo cut global fraud review volume 50% year over year while expanding into new markets, using localized risk signals and visual link analysis.
- [Tutory Reduced False Positives and Cut Manual Efforts by 83% with Sift](https://sift.com/resources/case-studies/tutory-case-study/): How Tutory recovered from a provider that flagged 26% of transactions and cost $1M in lost sales, reaching 99% decision accuracy and 0.17% chargebacks.

## Ebooks
- [[Migration Guide] Moving from Accertify to Sift](https://sift.com/resources/ebooks/migration-guide-moving-from-accertify-to-sift/): A step-by-step guide to migrating from Accertify to AI-powered fraud prevention: what changes, what to plan for, and how to avoid downtime.
- [[Migration guide] Moving from Kount to Sift](https://sift.com/resources/ebooks/migration-guide-moving-from-kount-to-sift/): See how to move from Kount to AI-powered fraud prevention, from data mapping and rules review to model training and go-live planning.
- [2023 Consumer Payments Survey Report](https://sift.com/resources/ebooks/2023-consumer-payments-survey-report/): This report discusses insights and trends from a consumer survey exploring current expectations towards online payments.
- [A Guide to Dispute Best Practices](https://sift.com/resources/ebooks/dispute-best-practices/): Learn chargeback dispute best practices: preventing fraud upfront with AVS and CVV checks, spotting red flags, and managing disputes end to end.
- [Building Seamless, Secure Product Experiences: A 3-Part Guide](https://sift.com/resources/ebooks/building-seamless-secure-product-experiences-a-3-part-guide/): How fraud distorts product KPIs like adoption and retention, and how to build trust into signup, login without adding friction.
- [Chargeback Reason Code Encyclopedia](https://sift.com/resources/ebooks/chargeback-reason-code-encyclopedia/): Look up every chargeback reason code from Visa, Mastercard, Amex, and Discover, with definitions, time limits.
- [Complete Guide to Account Takeover (ATO)](https://sift.com/resources/ebooks/complete-guide-to-account-takeover/): How account takeover works, why breaches and phishing fuel it, how to measure ATO losses, and how to detect attacks before your users are affected.
- [Deploying Digital Trust & Safety](https://sift.com/resources/ebooks/digital-trust-and-safety-playbook/): A step-by-step guide to implementing a successful Digital Trust & Safety strategy to stop fraud and grow your business.
- [Digital Commerce | Evaluation Guide for Online Fraud Solutions](https://sift.com/resources/ebooks/digital-commerce-evaluation-guide-for-online-fraud-solutions/): Our Digital Commerce Evaluation Guide for Online Fraud Solutions covers what to look for in a risk decisioning platform.
- [Digital Commerce 360 Retail](https://sift.com/resources/ebooks/digital-commerce-360-retail-tips-to-fight-fraud-during-covid-times/): Retail fraud guidance from Digital Commerce 360 and Sift on handling demand spikes, order surges, and the fraud patterns that follow them.
- [Digital Security Playbook](https://sift.com/resources/ebooks/digital-security-playbook-building-trust-and-loyalty-online/): This new report from PYMNTS and Sift provides key insights into consumer brand trust and how merchants can build customer loyalty.
- [Digital Trust & Safety: Combatting the Evolving Complexities of Payment Fraud](https://sift.com/resources/ebooks/digital-trust-safety-combatting-the-evolving-complexities-of-payment-fraud/): How payment fraud has grown more complex across channels and payment methods, and how a Digital Trust & Safety approach keeps approvals high.
- [Dynamic Friction](https://sift.com/resources/ebooks/dynamic-friction-delivering-the-right-experiences-at-the-right-time/): Learn what dynamic friction is, how to tailor user experiences to risk in real time, and why step-up MFA is central to stopping account takeover.
- [E-Commerce and Omni-Channel Fraud Following the Digital Acceleration](https://sift.com/resources/ebooks/e-commerce-and-omni-channel-fraud-digital-acceleration/): How rapid digital acceleration reshaped e-commerce and omnichannel fraud, which attack patterns grew fastest, and how merchants should respond.
- [E-Commerce Fraud Prevention: The Shortcomings of Chargeback Insurance](https://sift.com/resources/ebooks/insurance-vs-machine-learning-for-fraud-prevention/): Compare chargeback insurance and machine learning fraud prevention on cost, approval rates, and long-term risk, and see where each approach fits.
- [Evaluation Guide for Online Fraud Solutions](https://sift.com/resources/ebooks/evaluation-guide-for-online-fraud-solutions/): A vendor evaluation guide for online fraud prevention: solution categories, must-have capabilities, and a scoring checklist.
- [Fake Reviews](https://sift.com/resources/ebooks/fake-reviews-brand-loyalty/): Discover how fake reviews create a risk of brand abandonment and revenue losses, and what businesses should do to remain one step ahead.
- [Fraud Prevention in E-Commerce Report 2020/2021](https://sift.com/resources/ebooks/fraud-prevention-in-e-commerce-report-2020-2021/): Benchmark data and merchant insights on e-commerce fraud in 2020-2021, covering attack patterns, chargeback trends, and prevention priorities.
- [Fraud Prevention in Ecommerce Report 2023-2024: Sift’s contribution](https://sift.com/resources/ebooks/fraud-prevention-in-ecommerce-report-2023-2024/): Merchant survey data on e-commerce fraud in 2023-2024: where losses concentrated, which tools teams relied on, and how prevention budgets shifted.
- [Gartner® Report: Update Your Cybersecurity Priorities in a Shifting Threat Landscape](https://sift.com/resources/ebooks/gartner-report-update-your-cybersecurity-priorities-in-a-shifting-threat-landscape/): Get key recommendations from Gartner on preparing for the convergence of fraud prevention, identity, and cybersecurity.
- [Guide to Fraud Prevention, Value Creation, and Risk Management](https://sift.com/resources/ebooks/a-cfos-guide-to-fraud-prevention-value-creation-and-risk-management/): A CFO's guide to quantifying the true cost of fraud, lifting approval rates, scaling fraud strategy, and justifying fraud investment with real ROI.
- [How Online Fraudsters are Exploiting Omnichannel Retail](https://sift.com/resources/ebooks/how-online-fraudsters-are-exploiting-omnichannel-retail/): The retail-specific abuse methods fraudsters use against omnichannel merchants, plus a readiness check to future-proof your defenses.
- [How Sift Works](https://sift.com/resources/ebooks/how-sift-works/): A technical look inside Sift: the platform architecture, data sources and infrastructure, and how its machine learning models detect fraud in real time.
- [How to Build Resilient Fraud Management Strategies](https://sift.com/resources/ebooks/how-to-build-resilient-fraud-management-strategies/): Three strategies for fraud teams facing economic uncertainty: stretch budgets, cut manual review, automate workflows.
- [Integrating ATO and Payment Fraud Systems](https://sift.com/resources/ebooks/integrating-ato-and-payment-fraud-systems/): New research from Aite-Novarica, sponsored by Sift, explores the state of fraud management within fintech firms.
- [Internet & Software | Evaluation Guide for Online Fraud Solutions](https://sift.com/resources/ebooks/internet-software-evaluation-guide-online-fraud-solutions/): Our Internet & Software Evaluation Guide for Online Fraud Solutions covers what to look for in a risk decisioning platform.
- [Leading the Digital Trust & Safety Transformation](https://sift.com/resources/ebooks/leading-the-digital-trust-safety-transformation/): Why legacy risk models fall short, the four qualities of a Digital Trust & Safety organisation, and a step-by-step path beyond reactive fraud fighting.
- [Machine Learning for Fraud Prevention](https://sift.com/resources/ebooks/machine-learning-fraud-prevention-whats-next/): Where machine learning fraud prevention is heading, from real-time scoring and behavioural signals to network data, and what risk teams should prepare for.
- [Not All Machine Learning Solutions are Created Equal](https://sift.com/resources/ebooks/real-time-machine-learning-fraud-prevention/): Not all ML fraud solutions are equal: which capabilities matter for speed, scale, and accuracy, and how to spot checkbox machine learning claims.
- [Online Fraud Prevention: How Rules-Based Systems are Killing Growth](https://sift.com/resources/ebooks/online-fraud-prevention-how-rules-based-systems-are-killing-growth/): How static, rules-based fraud systems create false declines and manual review backlogs, and what machine learning changes for revenue and growth.
- [Payment Fraud Prevention: Quick Pivots and Proactive Planning](https://sift.com/resources/ebooks/payment-fraud-prevention-quick-pivots-and-proactive-planning/): How payment fraud teams can pivot fast when attack patterns change, and build proactive plans that hold up through demand and risk swings.
- [Protecting Cash Flow and Predictability: A 3-Part Guide](https://sift.com/resources/ebooks/protecting-cash-flow-and-predictability-a-3-part-guide/): How fraud hides in chargebacks, disputes, and review overhead, plus frameworks to forecast fraud cost, measure ROI, and link fraud to margin.
- [QKS Group’s SPARK Matrix™: eCommerce Fraud Prevention Solutions ](https://sift.com/resources/ebooks/report-qks-spark-matrix-ecommerce-fraud-prevention-q4-2025/): How QKS Group evaluated e-commerce fraud prevention vendors in its Q4 2025 SPARK Matrix, and which capabilities now define next-generation platforms.
- [Quick Guide to Online Fraud Solutions](https://sift.com/resources/ebooks/quick-guide-to-online-fraud-solutions/): A short primer on the types of online fraud prevention solutions, how each works, and the components that separate top-tier platforms from the rest.
- [Scaling Secure E-Commerce Operations: A 3-Part Guide](https://sift.com/resources/ebooks/fraud-prevention-tactical-guide-e-commerce-operations/): Learn how hidden fraud distorts e-commerce growth metrics, how to build identity trust, and which KPIs link fraud to conversion and review load.
- [Securing & Scaling Operational Efficiency: A 3-Part Guide](https://sift.com/resources/ebooks/securing-scaling-operational-efficiency-a-3-part-guide/): How fraud clogs fulfilment and service workflows, and how ops leaders can cut manual reviews, disputes, and exceptions while scaling safely.
- [Sift named a Leader in Forrester Wave™ for Digital Fraud Management](https://sift.com/resources/ebooks/forrester-wave-digital-fraud-management-report/): Sift was named a Leader in Digital Fraud Management in the inaugural Forrester Wave™ Report. See why Sift is considered a leader in the DFM space.
- [Sift Ranked #1 in Fraud Detection | G2 Grid® Fall 2026](https://sift.com/resources/ebooks/sift-g2-leader-fraud-detection-2026/): How buyers ranked fraud detection vendors in G2's Fall 2026 Grid, and which capabilities reviewers valued most in real-world deployments.
- [Three Reasons ATO Needs to be a Priority This Holiday Season](https://sift.com/resources/ebooks/ato-priority-2022/): Discover why account takeover should be top of mind as you prepare your risk management strategy ahead of the holiday shopping season.

## Index Reports
- [Q1 2020 Digital Trust Index: The Fraud Landscape](https://sift.com/resources/index-reports/digital-trust-index-payment-fraud-2020/): Explore 2020 payment fraud data: what drove the 73% jump in fraud, the riskiest month and payment type, and which industries fraudsters targeted most.
- [Q1 2021 Digital Trust  Index: The Fraud Economy](https://sift.com/resources/index-reports/digital-trust-index-payment-fraud-2021/): See what drove the 69% YoY surge in attempted payment fraud, how the Fraud Economy connects attack vectors, and which industries were hit hardest in 2020.
- [Q1 2022 Digital Trust Index: Outsmarting Payment Fraud](https://sift.com/resources/index-reports/digital-trust-index-payment-fraud-2022/): How fraud rings and automated attacks reshaped payment fraud in 2022, why fintech attack rates climbed, and how fraud fuels brand abandonment.
- [Q1 2023 Digital Trust  Index: Payment Fraud](https://sift.com/resources/index-reports/digital-trust-index-payment-fraud-2023/): Explore new payment fraud data and consumer insights in our latest Digital Trust & Safety Index.
- [Q1 2024 Digital Trust  Index: Next Gen Payment Fraud](https://sift.com/resources/index-reports/digital-trust-index-payment-fraud-2024/): Why merchant payment fraud losses are set to soar, and how Gen Z is both more exposed to fraud.
- [Q1 2025 Digital Trust Index](https://sift.com/resources/index-reports/q1-2025-digital-trust-index/): Sift's Q1 2025 Digital Trust Index offers data and insights on current payment fraud trends, consumer behavior, and effective fraud mitigation strategies
- [Q1 2026 Digital Trust Index](https://sift.com/resources/index-reports/q1-2026-digital-trust-index/): Q1 2026 fraud benchmarks: how attacks shift upstream from checkout to accounts, stored value abuse, authentication strategy, and industry exposure gaps.
- [Q2 2020 Digital Trust Index: Content Abuse](https://sift.com/resources/index-reports/digital-trust-index-spam-scams-2020/): Content abuse in e-commerce is sometimes thought to be less damaging than account takeover and payment fraud—but in reality, it’s a significant problem that can lead to brand abandonment, data breaches, and considerable financial loss.
- [Q2 2021 Digital Trust  Index: Spam and Scams](https://sift.com/resources/index-reports/digital-trust-index-spam-scams-2021/): An ex-fraudster explains marketplace scam mechanics, where consumers meet content fraud most, and the long-term cost of spam and scams to your brand.
- [Q2 2022 Digital Trust Index: Content Fraud](https://sift.com/resources/index-reports/digital-trust-index-spam-scams-2022/): Which content fraud types dominate online, the sites consumers call spammiest and scammiest, and how fraudulent content triggers brand abandonment.
- [Q2 2023 Digital Trust Index: AI & Automation](https://sift.com/resources/index-reports/digital-trust-index-ai-fraud-2023/): Download this special report to discover how advancements in AI and automation are changing the scope of fraud.
- [Q2 2024 Digital Trust Index: AI-Fueled Fraud](https://sift.com/resources/index-reports/digital-trust-index-ai-fraud-2024/): How fraudsters exploited AI in 2024. Get exclusive intel from digital professionals and consumers, plus AI fraud data from Sift's Global Network.
- [Q2 2025 Digital Trust Index: AI Fraud](https://sift.com/resources/index-reports/q2-2025-digital-trust-index-ai-fraud/): Scam content rose 50% YoY as GenAI scaled fraud. See 2025 AI fraud data: consumer overconfidence, phishing success rates, and fraudster identity signals.
- [Q2 2026 Digital Trust Index](https://sift.com/resources/index-reports/q2-2026-digital-trust-index/): Q2 2026 fraud data: why chargeback-linked users show 15.8x higher global linkage, how fraud rings coordinate, plus ATO and payment fraud benchmarks.
- [Q3 2020 Digital Trust Index: ATO Fraud](https://sift.com/resources/index-reports/digital-trust-index-account-takeover-fraud-2020/): Why merchants absorb the cost of account takeover, which verticals ATO fraudsters targeted in 2020, and how ATO reshapes consumer trust and loyalty.
- [Q3 2021 Digital Trust Index: New Breed of ATO](https://sift.com/resources/index-reports/digital-trust-index-account-takeover-fraud-2021/): Inside an automated ATO blitz attack with thousands of logins per second, plus how account takeover rates shifted by industry, with fintech alarming.
- [Q3 2022 Digital Trust Index: Account Takeovers](https://sift.com/resources/index-reports/digital-trust-index-account-takeover-fraud-2022/): Which industries saw the biggest account takeover spikes in 2022, how the cashout scam drains bank accounts, and what ATO costs in consumer trust.
- [Q3 2023 Digital Trust Index: Account Takeover Data](https://sift.com/resources/index-reports/digital-trust-index-account-takeover-fraud-2023/): Why 78% of consumers would abandon a site after an ATO, which industries saw 500% and 900% YoY account takeover jumps, and how fraudsters scale attacks.
- [Q3 2024 Digital Trust Index: Beyond the Breach](https://sift.com/resources/index-reports/digital-trust-index-account-takeover-fraud-2024/): Get exclusive intel from digital professionals and consumers, and explore fraud data insights from across Sift's Global Network.
- [Q3 2025 Digital Trust Index: Account Takeovers in the Era of Agentic AI](https://sift.com/resources/index-reports/q3-2025-digital-trust-index-account-takeovers-in-the-era-of-agentic-ai/): ATO losses are projected at $17B in 2025. See which industries spiked, why 75% of consumers quit after an ATO, and how agentic AI is scaling attacks.
- [Q4 2020 Digital Trust Index: Holiday Fraud](https://sift.com/resources/index-reports/digital-trust-index-seasonal-fraud-2020/): How lockdown e-commerce pushed daily fraudulent purchase values up 70%, what Black Friday order volumes meant for fraud, and expert 2020 insights.
- [Q4 2021 Digital Trust Index: Fraud & Disputes](https://sift.com/resources/index-reports/digital-trust-index-seasonal-fraud-2021/): How rising digital commerce fraud drove more chargebacks in 2021, the growing cost of disputes, and tactics for preventing fraud and reducing disputes.
- [Q4 2022 Digital Trust Index: Online Disputes](https://sift.com/resources/index-reports/digital-trust-index-chargeback-fraud-2022/): Why consumers turn to first-party fraud, which industries face the highest dispute rates, and how fraud-driven chargebacks fuel brand abandonment.
- [Q4 2023 Digital Trust  Index: Dispute Data](https://sift.com/resources/index-reports/digital-trust-index-chargeback-fraud-2023/): Discover new consumer insights and first-party fraud data from Sift's global network.
- [Q4 2024 Digital Trust Index: Decoding Disputes](https://sift.com/resources/index-reports/q4-2024-digital-trust-index/): Explore the latest consumer insights and first-party fraud data from Sift's global network in our new Digital Trust Index: Decoding Disputes.
- [Q4 2025 Digital Trust Index: The Rising Impact of Chargebacks and Consumer Disputes](https://sift.com/resources/index-reports/q4-2025-digital-trust-index-the-rising-impact-of-chargebacks-and-consumer-disputes/): Global chargeback losses are projected at $33.79B in 2025. See dispute trends by industry, the rise of refund hacks, and first-party fraud's real impact.

## Webinars
- [‘Tis the season: Scaling with Sift Managed Services in Time for the Holidays](https://sift.com/resources/webinars/tis-the-season-scaling-with-sift-managed-services-in-time-for-the-holidays/): See how Sift Managed Services help teams absorb holiday volume spikes: expert model tuning, day-to-day fraud ops support, and how to tell if it fits
- [Accelerating Profitable Play: Tackling Bonus Abuse and Responsible Gambling](https://sift.com/resources/webinars/accelerating-profitable-play-tackling-bonus-abuse-and-responsible-gambling/): Hear from industry leaders as they break down actionable strategies for protecting both your players and platform to help you meet responsible gambling requirements while growing revenue.
- [Are account takeovers haunting your organization?](https://sift.com/resources/webinars/are-account-takeovers-haunting-your-organization/): Learn the warning signs of account takeover, why ATO attacks are climbing, and how real-time machine learning helps teams block them across industries.
- [ATOs in 2025: Agentic AI Supercharges Fraud-as-a-Service](https://sift.com/resources/webinars/atos-in-2025-agentic-ai-supercharges-fraud-as-a-service/): ATO attack rates hit 2.5% in Q3 2025. Learn how Fraud-as-a-Service vendors operate on the dark web and what agentic AI means for your 2026 fraud strategy.
- [Automation and Payment Fraud: Fighting Fire with Fire](https://sift.com/resources/webinars/automation-and-payment-fraud-fighting-fire-with-fire/): Fraudsters and fraud teams both have automation now. Learn how to turn it against payment fraud without losing transparency or control over decisions.
- [Balanced ATO Risk Strategies: Leveraging Dynamic Friction](https://sift.com/resources/webinars/balanced-ato-risk-strategies-leveraging-dynamic-friction/): How to apply dynamic friction at login: layered ATO screening strategies, linking login and transaction risk, and measuring your true ATO risk exposure.
- [Boost Acceptance Rates with AI-Powered TRA Exemptions](https://sift.com/resources/webinars/boost-acceptance-rates-with-ai-powered-tra-exemptions/): How TRA exemptions work under SCA, when to route transactions away from 3DS, and how AI-powered decisioning lifts authorisation rates in practice.
- [Enhancing Fraud Operations through Network Tokenization and Payment Orchestration](https://sift.com/resources/webinars/enhancing-fraud-operations-through-network-tokenization-and-payment-orchestration/): How network tokenization and payment orchestration cut processing costs and stop fraud - plus PSP compatibility and vendor lock-in risks to watch for.
- [Fast-Tracking Identity Trust in the Age of AI](https://sift.com/resources/webinars/fast-tracking-identity-trust-in-the-age-of-ai/): Why fragmented risk signals weaken fraud decisions, and how context-based identity trust helps teams approve good users faster and cut losses.
- [Fighting AI with AI: How Identity and Dynamic Risk Intelligence Stop Advanced Fraud in Real Time](https://sift.com/resources/webinars/fighting-ai-with-ai/): Legacy identity controls are failing against modern AI-driven threats. Attackers deploy generative AI, voice cloning, and automated scripts that easily bypass static MFA and legacy rules-based fraud engines. Defending your organization requires an adaptive, automated defense that pairs dynamic threat intelligence directly with identity orchestration.
- [Finance & the Future of Risk | Is Fraud Messing With Your Margins?](https://sift.com/resources/webinars/finance-the-future-of-risk-is-fraud-messing-with-your-margins/): Learn how fraud erodes margins and acquisition costs, how AI risk decisioning improves efficiency, and what finance leaders should demand from a vendor.
- [From Data to Action: Chargeback Trends and Fraud Strategies for 2025](https://sift.com/resources/webinars/chargeback-trends-and-fraud-strategies-for-2025/): Decode 2025 chargeback trends: rising dispute rates, first-party fraud drivers, the hardest-hit industries, and how AI automates dispute management.
- [From Guardrails to Growth: Unlocking User Intent with AI](https://sift.com/resources/webinars/from-guardrails-to-growth-unlocking-user-intent-with-ai/): How identity intelligence reveals user intent across the customer journey, breaks down silos between fraud, product and payments, and speeds new launches.
- [From Login to Loyalty: Using AI to Build Trust and Block Fraud](https://sift.com/resources/webinars/from-login-to-loyalty-using-ai-to-build-trust-and-block-fraud/): How AI-powered identity signals and risk decisioning stop fraud at login without slowing real customers — and turn that trust into repeat loyalty.
- [Grow Fearlessly: How Modern CFOs Fight Fraud and Fuel Revenue](https://sift.com/resources/webinars/how-modern-cfos-fight-fraud-and-fuel-revenue/): The Cheesecake Factory CFO on digital ordering fraud: how finance leaders own fraud strategy, future-proof the tech stack, and keep checkout friction low.
- [Holiday Havoc 2024: Strategic Considerations for This Year’s Rush](https://sift.com/resources/webinars/holiday-havoc-2024-strategic-considerations-for-this-years-rush/): Prepare for peak season: holiday fraud trends, how spending patterns shift, adapting your rules and data, and managing the post-holiday chargeback surge.
- [How Passwordless Technology Can Help You Overcome PSD2 Pains](https://sift.com/resources/webinars/passwordless-technology-psd2/): What PSD2 changed for merchants and PSPs in Europe, the friction it created, and how passwordless authentication delivers secure, seamless checkout.
- [How to Benchmark Fraud Performance and Find Hidden Gaps](https://sift.com/resources/webinars/how-to-benchmark-fraud-performance-and-find-hidden-gaps/): The Blueprint is Sift’s new how-to series for fraud leaders who want practical guidance, not theory. Each session walks through a specific problem—from org design to benchmarking and revenue alignment—with clear steps, tradeoffs, and examples from real companies.
- [How to Build a Fraud Signal-Sharing Strategy Across Teams and Vendors](https://sift.com/resources/webinars/how-to-build-a-fraud-signal-sharing-strategy-across-teams-and-vendors/): The Blueprint is Sift’s how-to series for fraud leaders who want practical guidance, not theory. Each session walks through a specific problem, with clear steps, tradeoffs, and examples from real companies.
- [How to Build and Scale a Modern Fraud Organization](https://sift.com/resources/webinars/how-to-build-and-scale-a-modern-fraud-organization/): Kevin Lee on building fraud programs at Square, Facebook and Sift: where to start, how org design has changed, and how to align fraud with revenue goals.
- [How to Combat the Emergence of Automated and AI-Generated Fraud](https://sift.com/resources/webinars/how-to-combat-the-emergence-of-automated-and-ai-generated-fraud/): Trust and safety leaders from Mindbody and Zipcar on how generative AI and bots fuel new scams — and how to detect automated attacks in real time.
- [How to Defend Your Business Against First-Party Fraud](https://sift.com/resources/webinars/how-to-defend-your-business-against-first-party-fraud/): Understand the dispute landscape — true fraud, first-party fraud and merchant error — plus consumer motivations and how to prepare for chargeback season.
- [How to Navigate the Next Generation of Payment Fraud](https://sift.com/resources/webinars/how-to-navigate-the-next-generation-of-payment-fraud/): Why payment fraud is rising across industries — macroeconomic pressure, shifting consumer behaviour and AI — plus how AI-driven prevention keeps pace.
- [How to Reduce Friction Without Compromising Fraud Security](https://sift.com/resources/webinars/reduce-friction-without-compromising-fraud-security/): Map where friction really lives in your user journey, redesign verification flows to cut abandonment, and tune controls using approval and chargeback data.
- [How to Solve for More than Just Payment Fraud](https://sift.com/resources/webinars/how-to-solve-for-more-than-just-payment-fraud/): The Blueprint is Sift’s how-to series for fraud leaders who want practical guidance, not theory. Each session walks through a specific problem, with clear steps, tradeoffs, and examples from real companies.
- [I, Fraudbot: Signals and Strategy for Preventing GenAI Fraud](https://sift.com/resources/webinars/i-fraudbot-signals-and-strategy-for-preventing-genai-fraud/): Why AI-generated scams now defraud over a quarter of the people they target, which behavioural signals expose bad actors, and how to decide in real time.
- [Maximise Player Approvals with AI-Powered Fraud Fools](https://sift.com/resources/webinars/maximise-player-approvals-with-ai-powered-fraud-tools/): How sports betting and iGaming operators cut false positives at registration, speed up player onboarding and stay compliant with AI fraud decisioning.
- [New Trends in the Payments Ecosystem](https://sift.com/resources/webinars/new-trends-in-the-payments-ecosystem/): How consumer payment behaviour is changing, what card volume growth means for fraud and chargeback losses, and how merchants should adapt their strategy.
- [Responsible Gambling Reinvented: Protect Players and Margins Together](https://sift.com/resources/webinars/responsible-gambling-reinvented/): How operators bridge fraud prevention and responsible gambling, using behavioural intelligence to spot nuanced player risk before it becomes a problem.
- [Retail Dive-Cyberthreats: How to Prep for the Upswing This Holiday Season](https://sift.com/resources/webinars/retail-dive-cyberthreats-how-to-prep-for-the-upswing-this-holiday-season/): Why holidays are peak season for retail fraud, how ATO and AI-driven attacks are evolving, and how to scale fraud prevention for a demand spike.
- [Safeguarding Customer Loyalty with Smarter Fraud Prevention](https://sift.com/resources/webinars/safeguarding-customer-loyalty-with-smarter-fraud-prevention/): Spot fraud red flags across the customer journey, why identity trust matters in retail, and how AI-powered intel protects loyalty and revenue.
- [Selecting the Right Digital Fraud Management Partner Featuring Forrester](https://sift.com/resources/webinars/selecting-the-right-digital-fraud-management-partner-featuring-forrester/): Forrester's Andras Cser on evaluating fraud platforms: the capabilities that matter, questions to ask vendors, and how to calculate ROI before you buy.
- [State of Fraud: Lessons Learned From 2022 and Insights Into 2023](https://sift.com/resources/webinars/state-of-fraud-lessons-learned-from-2022-and-insights-into-2023/): How fraud and chargeback pressure changes in a downturn, balancing customer experience against friendly fraud, and handling risk-threshold pressure.
- [Stop the Drip: Uniting Fragmented Account Takeover Challenges & Operations](https://sift.com/resources/webinars/stop-the-drip-uniting-fragmented-account-takeover-challenges-operations/): Detect ATO with behavioural analysis and device fingerprinting, see its full cost beyond chargebacks, and unite fraud, security and payments teams.
- [SuperSifter Spotlight: TCGplayer and the power of Payment Protection + Account Defense](https://sift.com/resources/webinars/supersifter-spotlight-tcgplayer/): How TCGplayer secured its marketplace against payment fraud, fake signups and account takeover — the challenges it hit, decisions made and lessons learned.
- [The AI Fraud Frontier: How Fraudsters and Fraud Fighters Have Adopted AI Technology](https://sift.com/resources/webinars/the-ai-fraud-frontier-how-fraudsters-and-fraud-fighters-have-adopted-ai-technology/): Who is winning the AI race in fraud? Compare how fraudsters and fraud fighters use traditional and generative AI, plus strategies for staying ahead.
- [The ATO Playbook: Actionable Insights from a Former Fraudster and Fraud Manager ](https://sift.com/resources/webinars/the-ato-playbook-actionable-insights-from-a-former-fraudster-and-fraud-manager/): A former fraudster explains why account takeover appeals to criminals and the methods used to breach accounts, plus how fraud managers detect them early.
- [The C-Suite Imperative: Why Executives Must Prioritize Online Fraud Prevention as a Growth Lever](https://sift.com/resources/webinars/the-c-suite-imperative-why-executives-must-prioritize-online-fraud-prevention-as-a-growth-lever/): Forrester and Deloitte on the true cost of fraud, integrating prevention into identity strategy, and building cross-functional fraud resilience.
- [The Connected Threat: Fraud Rings, ATO Patterns, and Payment Fraud Benchmarks](https://sift.com/resources/webinars/the-connected-threat/): Why global fraud averages hide concentrated risk: fraud ring behaviour, where ATO is growing despite MFA, and what a false positive costs by industry.
- [The Loyalty Fraudster’s Playbook](https://sift.com/resources/webinars/the-loyalty-fraudsters-playbook/): How fraudsters target loyalty programs, which payment types are hit hardest, and how passkeys and cyber-fraud fusion teams counter hotel loyalty fraud.
- [The New Era of Payment Fraud and ATO: Benchmarks, Trends, and Insights](https://sift.com/resources/webinars/the-new-era-of-payment-fraud-and-ato-benchmarks-trends-and-insights/): Benchmark your program with global data on payment fraud and ATO across industries, channels and payment methods, plus shifting consumer expectations.
- [Time Matters. Swift and Agile Responses to Payment Fraud Attacks](https://sift.com/resources/webinars/time-matters-swift-and-agile-responses-to-payment-fraud-attacks/): Build an agile response to payment fraud attacks in digital channels ,why speed matters most during the holiday rush and how to prepare your team now.
- [Tracking the Evolution of Payment Fraud: Insights and Strategies for 2025](https://sift.com/resources/webinars/tracking-the-evolution-of-payment-fraud-insights-and-strategies-for-2025/): 34% of consumers saw offers to join payment fraud. See 2025 fraud methods, the industries hit hardest, and how to spot trends in your own data faster.
- [Winning the Race Against AI-Driven Fraud](https://sift.com/resources/webinars/winning-the-race-against-ai-driven-fraud/): How generative AI made voice and video deepfakes commonplace, what that means for biometric security, and how digital identity has to evolve to keep up.
- [Your Roadmap to Better Player Insights: Smarter Risk Assessment for Online Gambling](https://sift.com/resources/webinars/your-roadmap-to-better-player-insights/): A step-by-step roadmap beyond basic KYC: use AI risk models and advanced signals to read player behaviour, cut manual reviews and grow your platform safely.

## Videos & Podcasts
- [About Sift](https://sift.com/resources/videos/about-sift/): Learn how machine learning fraud prevention works: statistical models and algorithms that spot bad actors and automate accurate risk decisions at scale.
- [Banxa Customer Story](https://sift.com/resources/videos/banxa-customer-story/): Payment provider fraud prevention in practice: how global PSP Banxa cut manual review, lifted operational efficiency, and supported rapid crypto growth.
- [Beating the Odds in the Global Fraud Economy (part 1)](https://sift.com/resources/videos/beating-the-odds-in-the-global-fraud-economy/): Industry veteran Dom Squeo unpacks gaming fraud trends with Sift's Kevin Lee: the tactics hitting operators and what any business can learn from them.
- [Beating the Odds in the Global Fraud Economy (part 2)](https://sift.com/resources/videos/beating-the-odds-in-the-global-fraud-economy-part-2/): Part 2: Dom Squeo and Kevin Lee go deeper on iGaming fraud prevention - AML pressure, payments risk, and the defenses gaming operators use to stay ahead.
- [Fraud Fighting in the Time of COVID-19](https://sift.com/resources/videos/fraud-fighting-in-the-time-of-covid-19/): Sift CEO Jason Tan and Jeff Sakasegawa on fraud during COVID-19: how the pandemic accelerated digital transformation and permanently reshaped trust and safety.
- [How Does Sift Work?](https://sift.com/resources/videos/how-does-sift-work/): How does Sift work? Review users in the console, build custom Lists, read key fraud signals, map connections between users, and drill into event history.
- [OpenTable customer testimonial](https://sift.com/resources/videos/opentable-testimonial/): Reduce manual fraud review the way OpenTable did: from 30% to 5% in a year, with an 80% drop in review volume and 200% better detection accuracy.
- [Patreon Customer Story](https://sift.com/resources/videos/patreon-customer-story/): How Patreon approached creator platform fraud prevention to reduce fraud losses by 95% while keeping creators, patrons, and payouts safe as it scaled globally.
- [Paula’s Choice Customer Story](https://sift.com/resources/videos/paulas-choice-customer-story/): How skincare brand Paula's Choice used ecommerce chargeback prevention to stop more fraud and see measurable value within three days of going live.
- [Poshmark customer testimonial](https://sift.com/resources/videos/poshmark-testimonial/): How Poshmark approached marketplace spam prevention, cutting spam and scam listings to build a safer, more trusted community for its buyers and sellers.
- [The Democratization of Fraud Meets Fraud-as-a-Service](https://sift.com/resources/videos/the-democratization-of-fraud-meets-fraud-as-a-service/): What is fraud-as-a-service? Sift trust and safety architects explain how FaaS kits and casual fraud spread, where vulnerabilities hide, and how to respond.
- [The Endless Summer of Fraud](https://sift.com/resources/videos/the-endless-summer-of-fraud/): Trust and Safety Architect Jeff Sakasegawa shares his take on what economists are calling the "summer of hell” for fraud.
- [The Pig Butchers of Crypto](https://sift.com/resources/videos/the-pig-butchers-of-crypto/): How the crypto pig butchering scam works, told through a Sift architect's undercover investigation: the setup, the grooming, and the warning signs to spot.
- [The U.S. Secret Service Investigates Global Pig Butchering Scams](https://sift.com/resources/videos/the-u-s-secret-service-investigates-global-pig-butchering-scams/): Special Agent Shawn Bradstreet explains how the U.S. Secret Service investigates pig butchering scams: crypto-romance fraud, money flows, and takedowns.
- [Zoosk Customer Testimonial](https://sift.com/resources/videos/zoosk-testimonial/): How Zoosk built dating app fraud prevention into its systems, streamlining fraud workflows, reducing friction for real members, and keeping profiles safe.

## Demos
- [Demo: Sift Account Defense](https://sift.com/resources/demos/account-defense/): See Sift Account Defense in action and discover why leading brands choose our AI-powered risk platform to secure users and revenue.
- [Demo: Sift Content Integrity](https://sift.com/resources/demos/content-integrity/): Content integrity demo: see how Sift stops spam, scams, and risky posts before they reach your users. Watch the 3-minute product walkthrough.
- [Demo: Sift Dispute Management](https://sift.com/resources/demos/dispute-management-demo/): Watch the Sift Dispute Management demo to see how AI-powered chargeback automation recovers lost revenue and wins back more disputes
- [Demo: Sift for Fintech](https://sift.com/resources/demos/sift-for-fintech-console-demo-video/): See how fintech fraud prevention works across onboarding, account access, and money movement.
- [Demo: Sift Payment Protection](https://sift.com/resources/demos/payment-protection/): Learn how to prevent payment fraud, CNP abuse, and chargebacks in real time. Watch the Sift Payment Protection demo of AI-powered fraud decisioning.
- [Demo: Whitepages Pro Integration](https://sift.com/resources/demos/demo-whitepages-pro-integration/): See how third-party identity verification data speeds up manual fraud review. Watch the Sift and Whitepages Pro integration demo inside the Sift Console.

## Onepagers
- [A Luxury Retailer Reduced 98% of EMV-Related Disputes](https://sift.com/resources/onepagers/luxury-retailer-emv-disputes/): Download our one-pager to discover how a luxury retailer used Sift to stop nearly all EMV-related chargeback disputes.
- [A Major Airline Stopped 33% of Initiated Disputes in Under 90 Days](https://sift.com/resources/onepagers/airline-chargeback-disputes/): How a major airline stopped 33% of initiated chargeback disputes in under 90 days using real-time resolution and automated chargeback processing.
- [AI-Powered Fraud Protection for Digital Commerce](https://sift.com/resources/onepagers/digital-commerce-fraud-solutions/): Discover how Sift helps digital commerce companies turn trust into revenue with AI-powered fraud protection.
- [AI-Powered Fraud Protection for Internet & Software](https://sift.com/resources/onepagers/sift-for-internet-software-services/): Discover how Sift helps prevent internet & software fraud and fuel secure growth with AI-powered risk decisioning.
- [AI-Powered Fraud Protection from Account Creation to Checkout](https://sift.com/resources/onepagers/ai-fraud-protection-signup-checkout/): Why fraud teams cover the whole user journey - how pairing account protection with payment decisioning closes the data gaps between signup and checkout.
- [DevCode Identity + Sift for iGaming: Real-Time Player Risk Intelligence](https://sift.com/resources/onepagers/devcode-sift-for-igaming/): How pairing KYC onboarding with real-time risk signals helps iGaming operators fast-track trusted players and cut the cost of manual reviews.
- [Fraud Industry Benchmarking Resource (FIBR)](https://sift.com/resources/onepagers/fraud-industry-benchmarking-resource/): Discover how to compare your fraud rates against Sift's global industry benchmarks with the Fraud Industry Benchmarking Resource.
- [Fraud Prevention & Decisioning for Online Gambling](https://sift.com/resources/onepagers/igaming-fraud-prevention/)
- [Fraud Protection and Fearless Growth for Finance & Fintech](https://sift.com/resources/onepagers/digital-trust-safety-complete-real-time-fraud-protection-for-fintech/): A look at fintech fraud prevention - emerging fraudster techniques, how real-time risk decisioning protects money movement, and where losses build up.
- [Fraud Solution Checklist for CISOs: What to Ask, Answer, and Require](https://sift.com/resources/onepagers/fraud-solution-checklist-for-cisos/): Download our CISO checklist to discover how the right fraud prevention solution can protect your organization and drive revenue growth.
- [Managing Risk, Friction, and Growth Under PSD2](https://sift.com/resources/onepagers/managing-risk-friction-and-growth-under-psd2/): Download this one-pager to learn how Sift supports businesses as they manage fraud operations and growth under PSD2.
- [Ping Identity + Sift Integration](https://sift.com/resources/onepagers/ping-identity-sift-integration/): Sift partners with Ping Identity to protect revenue from ATO fraud while providing a frictionless experience for your trusted customers.
- [Protect Payments from Checkout to Chargeback](https://sift.com/resources/onepagers/protect-your-payments-from-checkout-to-chargeback/): Download this one-pager to learn how Sift's AI-powered fraud decisioning platform protects payments from checkout to chargeback.
- [Real-Time Resolution Helped Credit Repair Company Stop 73% of Initiated Disputes](https://sift.com/resources/onepagers/sift-chargeback-how-real-time-resolution-helped-a-leading-credit-repair-company-win-disputes/): Discover how one leading credit repair company stopped well over two-thirds of initiated disputes with Sift.
- [Sift Account Defense](https://sift.com/resources/onepagers/sift-account-defense/): Sift Account Defense delivers AI-powered protection against account takeover fraud. Unify operations, close data gaps, and protect revenue.
- [Sift Content Integrity: Stay Ahead of Spam and Scams](https://sift.com/resources/onepagers/sift-content-integrity-stay-ahead-of-spam-and-scams/): Download this one-pager to discover why leading businesses turn to Sift Content Integrity to defend against spam and scams.
- [Sift for Card Testing](https://sift.com/resources/onepagers/sift-for-card-testing/): Card testing explained - how fraudsters use small transactions to validate stolen cards, why it drives chargebacks and fees, and how to detect it early.
- [Sift for Streaming Services Fraud](https://sift.com/resources/onepagers/sift-for-streaming-services-fraud/): What streaming service fraud looks like - multi-accounting, free trial abuse, and promo exploitation - plus how it erodes transactional revenue and LTV.
- [Sift for Subscription Fraud](https://sift.com/resources/onepagers/sift-for-subscription-fraud/): Explore how Sift's AI-powered solutions can protect your platform against different types of subscription fraud.
- [Sift Managed Services](https://sift.com/resources/onepagers/sift-managed-services/): Download this one-pager for everything you need to know about Sift Managed Services, and how our AI-powered platform can help your business.
- [Sift Payment Protection: Proactively Prevent Payment Fraud](https://sift.com/resources/onepagers/sift-payment-protection-proactively-prevent-payment-fraud/): Download this one-pager to discover why leading businesses turn to Sift Payment Protection to fight risk & fuel growth.
- [The Sift Platform](https://sift.com/resources/onepagers/sift-platform/): How an AI fraud detection platform works - risk scoring, decisioning rules, network intelligence, and automation across the full customer journey.