Sift has launched its Fall ’25 release, introducing AI-driven tools to help fraud teams combat growing digital threats.
The update brings pre-built workflows, improved policy abuse detection, and advanced investigation features to simplify risk decisioning and protect revenue more efficiently.
Pre-Built Workflow Templates give fraud teams instant access to industry-specific fraud prevention strategies. By reducing set-up time and operational pressure, these templates enable faster deployment and more accurate fraud detection at scale.
The release also targets loyalty, promo, and referral fraud through incentive abuse tools that apply policy rules to block first-party fraud before transactions occur.
Sift has expanded investigative capabilities with three upgrades: Global Identity Search Filters to reveal linked accounts, an ATO Overview Dashboard for account takeover trends, and Historical Chargeback Import to improve fraud model accuracy with past data.
Sift chief product and technology officer Raviv Levi said, “The Fall ‘25 release lets fraud teams deploy protection workflows in minutes, detect policy abuse before it impacts revenue, and investigate suspicious accounts with smarter, more intuitive tools designed for increasingly complex risk. We’re giving Sift customers more power to make better fraud decisions faster, cut spend, and protect revenue while also enhancing the consumer experience.”
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