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