Fraud Prevention
Real people.No deepfakes.No takeovers.
Fraudsters use synthetic identities, deepfakes, injected camera feeds and stolen logins. Layer registry-backed verification, server-verified liveness, device intelligence and a living trust score — so an attacker has to defeat every layer at once, at sign-up and every day after.
How it works
One flow,end to end.
Layered fraud defense — identity, biometrics, device signals and a living trust score, across the whole lifecycle.
- 1
Verify a real, unique person
Registry lookups plus document + biometric verification confirm a real person — and duplicate-identity and device-reuse signals catch the same actor returning under a new name.
- 2
Defeat deepfakes & injection
Liveness is re-verified server-side on the recorded video — the client's own verdict is never trusted — and capture-integrity checks flag virtual cameras and injected feeds.
- 3
Watch for takeover, then step up
A living trust score tracks every device, login and behavioural signal. When account-takeover signals fire, the platform can automatically challenge the user to re-verify instead of guessing.
What powers it
The layersunder the hood.
Deepfake & injection defense
Active liveness is re-scored server-side against the recorded video — a tampered client verdict, a replay or an injected feed can't fake a flash sequence that never happened.
Device & IP intelligence
Multi-accounting, emulator, datacenter-IP and velocity signals surface coordinated fraud and the same actor returning under a new identity.
Account-takeover detection
Send us the login and session events your app already sees. A device the user has never used and a country hop too fast to be travel score out of the box; richer takeover sequences compose from your own signals — takeover shows up as a pattern, not a single event.
Step up, don't just block
When risk spikes, mint a hosted re-verification challenge instead of blocking a good customer. Passing it restores their trust score; failing it is a hard signal.
A living trust score
Every signal — verification, biometrics, device, screening, behaviour — folds into an explainable fraud-risk and identity-confidence score that decays over time and moves as the customer does.
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.