Features / Fraud & Security

ML Fraud Prevention

Behavioral fraud scoring using machine learning and device fingerprinting — invisible to legitimate customers.

• Device ID fingerprinting identifies bad actors across sessions
• Behavioral scoring catches patterns that static rules miss
• No added friction — authentication happens invisibly
• Configurable risk score thresholds — block or flag
• Model continuously trained on incoming transaction data