Sift, a leading AI-powered fraud platform, has unveiled several new capabilities designed to empower fraud and risk teams with actionable intelligence, enabling more confident risk decisions and strengthening identity trust for global businesses. These innovations span generative AI explainability, in-product benchmarks, and automatic chargeback labeling.
One of Sift's latest innovations, ActivityIQ, utilizes generative AI to more effectively identify and surface account takeover (ATO) fraud patterns that might otherwise remain hidden. Building on the previously announced Activity Analyzer, ActivityIQ significantly reduces the time analysts spend reviewing high-risk sessions by summarizing risk patterns across multiple accounts simultaneously. This custom-trained Large Language Model (LLM) is expected to save hundreds of hours in aggregate for customers using ATO Defense when reviewing risky sessions in the Sift Console.
Another significant addition to the Sift product experience is FIBR In-Console, an enhancement of Sift’s Fraud Industry Benchmarking Resource. This feature brings the industry's widely recognized fraud KPI measuring tool directly into Sift’s fraud-fighting hub. It enables customers to directly compare their key fraud metrics—including payment fraud attack, manual review, general chargeback, and fraudulent chargeback rates—against their industry peers. This side-by-side comparison eliminates the need to navigate between multiple platforms, leading to more efficient and confident fraud strategy decisions.
To further empower customers to make data-driven refinements to their digital risk strategies, Sift has also released automatic chargeback labeling. This feature establishes a crucial feedback loop for Sift’s payment fraud prevention solution by automatically updating machine learning models with chargeback outcomes. Together, these new capabilities form a robust foundation for establishing and maintaining identity trust across all touchpoints in the consumer journey.
"The fraud ‘attack surface’ demands both intelligence and efficiency from risk operations teams, all while maintaining great consumer experience," said Raviv Levi, Chief Product and Technology Officer at Sift. "With our latest innovations, Sift customers can more easily establish and maintain identity trust by benchmarking their fraud KPIs against industry peers and with AI-generated insights to prevent ATO. Together, our latest capabilities equip risk teams to effectively combat fraud while fostering profitable growth.”
Sift’s latest innovations also include additional updates to the Sift Console, such as Search Bar Autocomplete, Sift Notifications Report, and RiskWatch Percentile Scoring in Score Threshold (STR) reporting, all designed to enhance the user experience and operational efficiency.
Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Brands including DoorDash, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences.
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