About Sift
Sift sells a fraud prevention platform with automated fraud decisioning. Sift assesses risk continuously across signup, login, account activity, payments, and post-purchase abuse, and connects configurable workflows, cross-journey data, and analyst tooling into one system. Sift's platform detects and stops fraud across the entire customer journey.[1][5][6]
Sift's platform collects customer and event data, adds global intelligence, and builds digital profiles across the user journey. Sift assesses risk using custom, industry, and global models. Sift automates responses with dynamic friction and decisioning across the entire user journey. Sift's platform uses reporting, case management, and workflow analysis. Sift Professional Services supports implementation and ongoing optimization, from project management and integration guidance to managed services for workflow auditing, model tuning, labeling, and strategic reviews. Attack Detection Agent spots, assesses, and helps teams respond to attacks.[5]
Sift's global data network processes more than 1 trillion events annually. Custom models are tailored to individual customers' unique fraud patterns, Global models capture broader fraud trends, and ThreatClusters provide industry-specific insights derived from related cohorts. Sift Score API is a modular fraud intelligence solution that delivers real-time risk scores derived from over 1 trillion annual events and 16,000+ fraud signals accumulated over 13 years. Sift Score API connects internally-built fraud systems to the Global Data Network, with the same level of risk insight and Console access available to full-platform Sift customers. When an internal risk engine submits real-time data via API calls, such as IP address, email, device fingerprint, and transaction details, Sift cross-references that input against the Global Data Network.[5][7]
For payment fraud, Sift analyzes every transaction in milliseconds using global data, real fraud patterns, and expert insight. Sift offers real-time scoring in under 150 milliseconds, backed by a Global Data Network of 1 trillion+ annual events and 16,000+ risk signals. For account takeover, Sift combines patented ATO risk scoring with device, location, behavioral, and network signals to uncover suspicious logins and fraud patterns. Sift shows why a login was approved, flagged, challenged, or blocked. Built-in email and SMS verification from Sift can be branded as the customer's own. For signups, Sift uses ensemble AI and ML models that combine device fingerprinting, identity signals, and insights from Sift's Global Data Network to catch fake accounts before they convert. Sift applies built-in step-up challenges only in response to suspicious activity.[8][9][10]
Sift provides a no-code decision engine, workflow simulation, and block and accept lists that let teams test policy changes on historical traffic and launch them without a developer. Sift offers turnkey integrations with IDV, 3DS, KYC, and AML providers. Sift's console gives analysts risk summaries, network visualization, and bulk decisioning in one place. Sift Workflows run routine decisions automatically. Sift customers can deploy Payment Protection with Account Defense.[5][8][10]
For food and delivery merchants, Sift secures transactions, accounts, and loyalty programs. Sift's gaming use case detects linked accounts and stops deposit fraud, bonus abuse, and account takeover tied to cash-out. Sift protects high-value bookings from payment fraud and account takeover for travelers. Sift's platform enables internet and software businesses selling subscriptions, digital content, or in-app items to protect revenue.[6][11][13]
Sift Science, Inc. is the company that uses the name Sift.[6][12][14][15]
Sift on the record