Fraud Prevention
Real people.No duplicates.No bots.
Fraudsters use synthetic identities, borrowed documents, emulators and injected camera feeds. Layer registry-backed verification, active liveness and device & IP intelligence so an attacker has to defeat all of them at once.
How it works
One flow,end to end.
Layered fraud defense — identity, biometrics and device signals working together.
- 1
Verify the identity
Registry lookups plus document + biometric verification confirm a real, unique person — not a synthetic identity.
- 2
Catch the device signals
Device & IP intelligence flags emulators, datacenter IPs, velocity and multi-accounting; capture-integrity checks catch virtual cameras and injected feeds.
- 3
Decide and monitor
A workflow routes suspect captures to review, and monitoring keeps watching for fraud after onboarding.
What powers it
The layersunder the hood.
Biometric binding
Face match to the government photo plus active liveness stops borrowed documents and replays.
Device & IP intelligence
Multi-accounting, emulator, datacenter-IP and velocity signals surface coordinated fraud.
Duplicate detection
Duplicate-identity and device-reuse signals catch the same actor returning under a new identity.
Products involved
Built fromthe platform.
This solution combines products you can use on their own too.
Frequently asked
Fraud Preventionquestions.
By requiring an attacker to defeat several independent layers at once — source-direct registry verification, facial comparison, active liveness, and device/IP signals — which a synthetic identity can't do.
Fraud Prevention,solved.
Sandbox-ready in minutes. Usage-based pricing, no sales call.