Sift

Sift (formerly Sift Science) is the premier, AI-native digital trust, safety, and fraud prevention powerhouse engineered to operate as the definitive, real-time risk intelligence infrastructure layer for global consumer applications, e-commerce networks, and high-velocity digital marketplaces. Operating as a mission-critical protection engine processing over one trillion events annually, the company eliminates the severe systemic friction of transactional fraud and cyber-abuse—where online brands struggle with rising chargeback rates, account takeover (ATO) attacks, promo abuse, and manual review bottlenecks—by deploying its signature Digital Trust & Safety Suite. Moving far beyond traditional, static rule-based legacy systems, Sift unifies payment protection, account defense, content monitoring, and dispute resolution into a single high-performance workspace. The platform empowers global innovators like DoorDash, Twitter, and Wayfair to dynamically cross-reference behavior telemetry across its global network of over 34,000 sites and apps with elite, scalable, and audit-ready precision. Under the hood, its sophisticated cloud-native architecture—driven by advanced machine learning models, proactive consortium data sharing graphs, and dynamic device fingerprinting—natively orchestrates sub-second risk scoring, automated step-up authentication routing, and live transactional forensics. What sets Sift apart is its uncompromising dedication to optimizing the balance between risk mitigation and user experience; by bridging the gap between performance-intensive, high-concurrency fraud detection pipelines and friction-free consumer checkouts, the firm enables modern scaling companies to radically maximize conversions, eliminate chargeback overhead, and build an unassailable foundation for continuous commercial growth worldwide.