Sift

Sift is a fraud prevention platform that uses machine learning to score events in real time so that digital businesses can block bad actors while approving more legitimate customers. It draws on a global data network of more than one trillion events a year, so a merchant's risk decisions benefit from patterns seen across the whole network rather than only its own traffic. It serves online retailers, SaaS companies, fintechs, marketplaces, iGaming operators, food delivery services and travel and transportation businesses, from small companies to enterprises. The two core products are Payment Protection, which returns real time fraud decisions on transactions, and Account Defense, which stops account takeovers, fake accounts and identity fraud. Both sit on a platform that includes a Decisioning Engine for building rules and adjusting risk strategy without engineering work, Network Intelligence drawn from the shared data set, and Automation and Workflows for routine fraud operations tasks. A Sift Score API lets teams bring Sift's risk intelligence into their own models, and Expert Services provide strategic guidance from fraud specialists. Pricing is not published. Sift is sold as an enterprise contract that starts with a tailored demonstration and a structured implementation program rather than a self service sign up.