Fraud Prevention

Machine learning models score transaction risk in real time. Device fingerprinting identifies returning devices across sessions. Behavioral biometrics analyze typing patterns, mouse movements, and navigation. Graph analysis maps relationships between accounts to detect fraud rings. Identity verification combines document checks, biometrics, and data matching.

Payment fraud detection scores each transaction for risk in milliseconds. Account takeover prevention detects unauthorized access from behavioral anomalies. Identity verification prevents synthetic identity fraud at account creation. Insurance fraud detection analyzes claims patterns for suspicious activity.

The global fraud detection and prevention market exceeded $30 billion in 2025. Global fraud losses exceed $5 trillion annually across payments, banking, insurance, and e-commerce.