Sift
Machine learning risk scores for payments, accounts and content abuse.
Made by SiftFraud and payments risk
About Sift
Sift is a fraud prevention platform that uses machine learning to tell legitimate customers from fraudsters in real time. Sift is built for analyst-driven teams that need speed without sacrificing accuracy.
Sift gives businesses continuous visibility into payment fraud, account takeover, and account abuse. The page states that industry leaders like Hertz, Yelp, and Poshmark rely on Sift to protect customers. Sift has been fighting fraud since 2011.
Drafted from sift.com · not yet confirmed by Sift
How it works
Sift scores risk across the whole user lifecycle: signup, login, content posting, and payment. It ingests events from your app, runs them through models trained on its network of customers, and returns a score per product (payment protection, account defense, content integrity, promo abuse). A Workflows engine lets you automate actions on scores and route cases to a review console.
Content Integrity is what makes it relevant beyond payments: it scores posts, listings and messages for spam and scams using the same account level signals, which is useful for marketplaces and social apps.
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