Sift AI Fraud Prevention Platform for Secure Digital Transactions

Sift covers several kinds of digital threats at once, from payment fraud and account takeover to content abuse and fake reviews. Businesses integrate its API or SDK into websites, apps and backend systems to start sending event data. AI models analyze user behavior, device information and transaction data, and each interaction receives a risk score indicating the likelihood of fraud or abuse. Based on those scores, decisions such as blocking, challenging or allowing a transaction can be automated. The models are trained on billions of global transactions, support multiple currencies and regions, and continuously learn from new data.

It detects suspicious login attempts to prevent unauthorized account access, and on digital platforms it works against spam and malicious content. Reducing false positives so that legitimate users can transact smoothly is a further stated goal. Its target businesses include e-commerce platforms, financial services companies and online marketplaces, as well as travel and hospitality businesses.

It primarily serves mid to large enterprises but can accommodate smaller businesses depending on needs. Pricing is not transparent: it is tailored to business size, volume and feature needs and requires contact. Setup and customization also involve a learning curve.