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 losses hit nearly $50 billion per year—with around 80% lost to attempted payment fraud. Nearly 60% of companies report that fraud losses continue to increase in 2025, and in financial institutions and fintech, almost 30% of organizations have reported losses breaching $1 million.
Selecting the appropriate fraud detection and prevention vendor for your business means understanding which features to consider, where budgetary restrictions impact performance, and how each service directly aligns with your business’s particular needs.
Features to Look For in Fraud Prevention Software
Choosing the right fraud prevention software is dependent on a company’s needs, and understanding the core features of each fraud prevention solution is the first step. Businesses need tools that can adapt to evolving threat tactics, support cybersecurity efforts, are accurate and prompt, and will serve the fraud team while delivering seamless customer experiences.
Monitoring and Analysis
Real-time monitoring is one of the more important aspects of a fraud detection tool. Rather than relying on static, outdated rules, scalable platforms continuously analyze transactions and interpret user signals to spot suspicious patterns. This proactive approach stops fraudsters faster, reduces losses and chargeback fraud, and builds a strong foundation for future-proof fraud prevention.
Device Fingerprinting and Pattern Recognition
A user’s device can tell you a lot about that user’s intentions. Their browser type, IP address, operating system, location data, frequency of purchases, and more can be used to identify suspicious behavior quickly and, as databases grow, with incredible accuracy. The best fraud prevention tools help you identify suspicious patterns and turn your fraud tolerance according to your industry and business needs.
Machine Learning and AI
Modern fraudsters adapt fast, leaving rule-based systems behind. AI and machine learning in fraud detection excel at spotting emerging threat patterns, learning from new data, and improving accuracy over time. This intelligence cuts down false positives, meaning fewer legitimate customers get flagged, and more fraud attacks are stopped before they cause damage.
Customization
Fraud and fraud prevention doesn’t look the same everywhere. Each industry, down to the individual market, faces its own risks and tolerance levels. An SaaS platform might focus on account takeovers, where an e-commerce merchant would be more concerned about first-party fraud. Food and delivery businesses process countless low-value transactions, requiring a lower fraud threshold to focus on lower transaction friction. Tech companies that handle fewer, higher-ticket sales would want to have a higher threshold for fraudulent transactions, as every chargeback means a much greater loss. Flexible fraud prevention adapts to these differences, letting teams design workflows, set thresholds, and understand exactly why a user was flagged, so they stay in control and make faster, more confident decisions that directly protect revenue.
Transparency
The most effective fraud detection software explains why a transaction looks suspicious while immobilizing the risk. Transparent risk scoring gives teams the context they need to spot patterns, refine strategies, and build smarter defenses. It also helps businesses calibrate their approach: companies selling high-value items can tighten controls, while those managing many low-value transactions can focus on keeping checkout friction low.
Scalability
Fraud prevention shouldn’t break under growth. As you enter new markets, launch products, or handle surges in transactions, your protection needs to keep pace. Sift’s Global Data Network draws on insights from millions of activities and transactions across industries worldwide, spotting patterns that signal account takeovers, stolen payment data, and other digital threats.
Below, we’ve highlighted the 7 best fraud detection solutions available for growing and enterprise companies, focusing on their key features, technology strengths, and pricing models to help you choose the best fit for your business.
Top Fraud Prevention Software Solutions
Sift
Sift is an AI-driven fraud decisioning platform that delivers identity trust to global businesses. With a Global Data Network of 1 trillion annual events and advanced ML models, Sift offers industry leading insight into user behavior through hundreds of meaningful user signals (IP location data, transaction frequency, compromised user information, and more) across nearly all industries.
Sift maintains #1 position across all fraud prevention categories in G2’s Fall 2025 Reports in Fraud Detection, E-Commerce Fraud Protection, and Risk-Based Authentication. Clearbox Decisioning gives Sift customers the ability to tune their fraud prevention to their specific industry and business needs. These features combined lets Sift offer extremely high accuracy in internet and software, online gambling, food and delivery, travel and transportation, and e-commerce fraud prevention while providing near-frictionless experiences for legitimate consumers.
Sift protects more than 700 different brands across the globe, including Hertz, Yelp, and Poshmark.
Standout Features
- Accurate fraud detection
- Real-time decisioning
- Scalable for high transaction volumes
- Easy API integration
- Clear risk scoring and insights
- Protection across payments and accounts
- Responsive customer support
Forter
Forter offers protection that helps businesses approve or block transactions. The platform integrates with online retailers to deliver decisions aimed at preventing fraud without disrupting the customer experience. Using machine learning and behavioral analytics, Forter evaluates a range of signals to reduce false declines, limit fraud losses, and protect customer accounts from abuse.
Standout Features
- Real-time decisioning
- Seamless integration with e-commerce platforms
- Advanced machine learning analytics
- Account protection features
Kount
Kount is a trust and safety platform that lets businesses choose the solutions that fit their specific challenges. It combines data-driven decisioning, machine learning, and historical fraud expertise to help organizations to support consistent fraud prevention across customer interactions.
- Easy to navigate
- Highly customizable
- Chargeback reduction
- Real-time monitoring
- Account management support
SEON
SEON is a fraud prevention platform designed for real-time risk scoring, identity verification, and reducing manual review. Users on G2 say SEON spots suspicious behavior quickly, gives visibility into digital footprints and device data, and lets teams build and adjust rules without heavy technical overhead.
- User interface designed for ease of navigation
- API-friendly solution
- Transparent risk scoring
- Flexible, modular pricing model
Signifyd
Signifyd is a commerce protection platform focused on preventing fraud and abuse across the ecommerce journey. It uses machine learning, risk scoring, and its wide commerce network to provide automation, real-time decisions, and a 100% financial guarantee against fraud for approved orders. According to users, the platform is designed to reduce chargebacks, streamline operations, and add visibility into fraud and merchant operations through actionable reporting.
- Automated approvals and declines
- 100% chargeback guarantee on approved orders
- Intuitive, easy-to-use dashboard for reporting and performance tracking
Accertify
Accertify is a fraud prevention and risk management platform that helps businesses fight abuse, manage disputes, and optimize payments. The platform integrates fraud detection, account protection, dispute management, and payment gateway features to help reduce fraud losses and chargebacks while improving operational visibility. Accertify is used across industries like travel, ecommerce, financial services, and telecommunications.
- Unified, comprehensive dashboard
- Easy to integrate
- Can be used for complex fraud use cases
- Robust fraud detection and device intelligence
Riskified
Riskified is an ecommerce fraud prevention platform that provides risk decisions and protects approved orders with a full chargeback guarantee. It uses real-time monitoring, machine learning, device tracking, and behavioral signals to spot fraud, bot activity, and risky transactions.
- Strong fraud detection, especially for fake accounts
- Real-time monitoring and alerts
- Dashboard and order risk visibility
- Chargeback guarantee
- Responsive support and helpful onboarding staff
Ravelin
Ravelin is an fraud prevention platform built to help online merchants secure the customer journey and accept more payments. Its solutions include real-time fraud detection, graph network analysis, and customizable rule engines. Ravelin also emphasizes helping businesses adapt to changing fraud patterns via investigative analytics and machine learning.
- Real-time detection and alerts
- Graph network functionality to spot complex fraud
- Customizable rules and policies
- Onboarding and technical support
Protect your Business from Fraud with Sift
Fraud prevention is foundational, and today’s fraudsters automate at scale, weaponizing stolen identities and exploiting decades of leaked data to adapt faster than most defenses can respond. For digital businesses, the challenge is to stop bad actors without breaking customer trust or slowing down growth.
Sift delivers the intelligence and infrastructure necessary to stay ahead. Powered by decades of experience, data, and applied machine learning, Sift’s Global Data Network connects identity, behavior, and intent, revealing the context behind every interaction and helping teams understand decisions. This visibility enables precise workflows, smarter thresholds, and faster, more confident decisions.
Get Sift’s evaluation guide to identify opportunities to improve your fraud stack.
