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 for digital trust.
In this roundup, we’re sharing the top highlights from Q3 2025 and a look at how Sift continues to help businesses stay one step ahead of fraud.
Sift Maintains #1 Position Across All Fraud Prevention Categories in G2’s Fall 2025 Reports
Sift continues its dominance in G2’s latest Grid Reports, maintaining the #1 ranking across all fraud-related categories for the second consecutive quarter. Sift secured the top position in G2’s Fall Grid Reports for Fraud Detection, E-Commerce Fraud Protection, and Risk-Based Authentication (RBA). G2 is the world’s largest and most trusted software marketplace and Sift’s recognition is based on reviews from over 550 verified Sift users.
“We consistently utilize Sift in our daily investigations. As risk investigators, Sift has become an essential part of our assessments. It guides us in decision-making by providing valuable insights such as login activities, locations and devices used, and other online behaviors of customers. The tool is user-friendly and seamlessly integrates with our other systems for conducting checks. Our Customer Support team also relies on this tool. The ease of implementation of Sift helps us work more efficiently.”
Read the announcement or check out Sift on G2.
Sift’s Fall ’25 Release: Advanced Fraud Investigation Tooling to Simplify Fraud Management & Strengthen Identity Trust
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 revenue protection without customer friction.
- Pre-Built Workflow Templates: Delivered through Sift’s award-winning user interface, Pre-Built Workflow Templates provide fraud teams with immediate access to industry-specific templates for preventing payment fraud.
- Incentive Abuse Tools: By leveraging policy rules to detect loyalty, promo, and referral abuse before a transaction occurs and revenue is at risk, Specialized Console Functionality for Incentive Abuse allows businesses to block first-party fraud and fake account creation while helping to lower customer acquisition cost (CAC).
- Expanded Investigation & Reporting: Three additional upgrades (Global Identity Search Filters, ATO Overview Dashboard, and Historical Chargeback Import) give fraud teams deeper context and clearer visibility into high-risk activity.
Read more about these innovations.
New Data on Account Takeovers in the Era of Agentic AI
The Q3 2025 Digital Trust Index, powered by FIBR (the Fraud Industry Benchmarking Resource), uncovers how account takeover (ATO) fraud is accelerating in the era of AI. Fraudsters are leveraging agentic AI, bots, and fraud-as-a-service tools to launch faster, more targeted ATO attacks, driving up losses and eroding customer trust. The report reveals where ATO is rising across industries, a widening risk gap between generations, and how AI-driven identity signals can stop attacks before they succeed. Key insights include:
- ATO fraud is accelerating and hitting high-value targets: ATO attacks rose 4% YoY across Sift’s network, with fintech & finance up 122%, travel & ticketing up 56%, and internet & software up 17%. Fraudsters are using bots, infostealer malware, and AI-driven credential stuffing to scale attacks.
- ATO quickly erodes customer trust: Fourteen percent of consumers were hit by ATO in the past year, mostly on social (51%) and subscription (33%) accounts. After an ATO, 75% would stop using the site and 87% would warn others, holding businesses responsible when protections fail.
- Agentic AI Accelerates Account Takeovers: Fraudsters are using autonomous AI agents to automate key steps of ATO, cutting the time to hijack accounts in half. Combined with fraud-as-a-service tools, these agents democratize fraud, enabling scams to scale faster and making detection more difficult.
Partnering with the Merchant Advisory Group
At this year’s MAG Payments Conference, one theme was impossible to miss: AI is no longer just a tool, it’s becoming the operating system of modern commerce. In an interview with conference emcee Rachel Sheerin, Sift CMO Armen Najarian shares how AI-driven decisioning is helping businesses move beyond fraud defense and reframe risk as a driver of sustainable growth.
Watch the interview from MAG San Antonio.
We also hosted the MAG | Sift San Francisco Merchant Meet-Up earlier this October, which gathered merchants from across the Bay Area for an afternoon of practical insight and open discussion about the state of fraud in digital commerce. The event gave peers space to explore what’s next in digital risk and payments, and evaluate how fraud and payments teams now balance risk management with revenue growth.
See our top takeaways from the event.
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