Sift Integration

Sift is a fraud prevention platform that uses machine learning to analyze user behavior and detect anomalies, preventing payment fraud and account takeovers

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Sift

Benefits with Ory + Sift Integration

Combining Sift with Ory provides a robust, AI-driven defense against account takeovers and fraudulent activity. While Ory securely manages the core identity and authentication flows, Sift continuously analyzes user behavior and device context to detect anomalies in real-time. This powerful combination allows you to implement adaptive authentication, stepping up security measures only when suspicious activity is detected. By doing so, you protect your users from unauthorized access while ensuring a frictionless experience for legitimate logins

Use Cases

— 01 use case

CIAM

Overcomes the challenge of sophisticated fraud and account takeovers in consumer apps by continuously analyzing behavior and device context to implement adaptive authentication

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Core Functionality

— 05 capabilities

Comprehensive Fraud Prevention
Requires both pre-flow risk checks and post-event reporting to effectively block threats and collect vital security signals.
Proactive Risk Assessment
Evaluates user risk scores before allowing access, automatically blocking authentication attempts that exceed customizable thresholds.
Detailed Behavioral Tracking
Captures essential events like account creation and logins, enriching fraud profiles with IP, user agent, and session data.
Secure API Integration
Protects your infrastructure by authenticating all pre-flow checks and post-event reporting through a single server-side API key.
Continuous Machine Learning
Enhances fraud detection over time as the longitudinal model learns from stable user IDs across multiple sessions