
Sift is a machine learning–based fraud detection and risk management platform that analyzes digital transactions and user behavior to prevent fraud and enable risk-based authentication.
Sift is an AI-powered fraud prevention and risk management platform designed for digital businesses that need to make real-time decisions at scale. The platform ingests signals from user behavior, devices, payments, content, and account activity, then applies machine learning models to score risk for each action, such as logins, payments, account changes, and content submissions.
Key capabilities include dynamic risk-based authentication, automated decisioning workflows, and granular policies that adapt to evolving fraud patterns. Sift enables organizations to automatically approve, challenge, or block transactions and user actions based on risk scores and business rules, reducing manual review while maintaining control. Its networked data model leverages patterns across a global customer base to detect emerging fraud vectors, including account takeover, payment fraud, promo abuse, chargebacks, and fake accounts.
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