ML scoring at txn time blocks money-mule, layering and synthetic ID patterns before they settle. Sub-10ms decisioning.
Fraud no longer happens after settlement — it happens in real time. Our ML model evaluates every transaction in under 10ms, scoring patterns that rules can't catch: device fingerprint anomalies, velocity, layering, and synthetic-ID network signals. High-risk transactions trigger optional Face verification before they clear.
A typical transaction fraud flow, end-to-end.
Your gateway sends txn metadata to our API at the authorize-or-decline moment.
Device, velocity, mule network, behavioural and historic signals fused into one score.
High-risk transactions trigger an in-app Face verification before clearing.
Allow / block / step-up returned in <10ms. Full audit log retained for 7 years.
Real-time ML scoring on device, velocity, mule and synthetic-ID signals.
Step-up biometric verification for risky transactions.
Pilot in sandbox, see fraud scoring on your real txn shapes.