Stop fraud before it costs you
Combine device, network, behavioral, and identity signals into a single risk score — with policies you can tune without redeploying code.
- Device fingerprint and bot detection
- Velocity, link, and graph analysis
- Behavioral biometrics during onboarding
- No-code rule editor for risk operators
Built for production-grade trust
Each capability ships with monitoring, audit trails, and a typed SDK. Composable — pick what you need, leave the rest.
Device intelligence
Detect emulators, jailbroken devices, VPNs, residential proxies, and tor.
Graph analysis
Identify rings of accounts sharing devices, emails, or payment instruments.
Behavioral biometrics
Typing cadence, scroll, and form-fill anomalies surface scripted attacks.
Policy editor
Build rules in plain language. Backtest against historical data before going live.
From integration to verified result
A consistent flow whether you call via SDK, REST API, or trigger via dashboard.
- 1
Collect
Drop in the SDK to gather passive risk signals.
- 2
Score
Models combine signals into a calibrated risk score.
- 3
Decide
Approve, challenge, or block based on your policy.
- 4
Tune
Edit rules in the dashboard — no engineering required.
Where teams deploy this
Patterns we see across regulated industries and high-velocity marketplaces.
Payment fraud
Reduce chargebacks and CNP fraud at checkout.
Account takeover
Detect ATO during login, settings changes, and recovery flows.
Promo abuse
Stop multi-accounting on free trials, referral codes, and bonuses.
Production-ready SDKs and a typed REST API
Drop into your stack with a single dependency. Typed responses, idempotency keys, and structured errors out of the box.
Frequently asked
Don't see your question? Reach out — we usually respond within a business day.
Ready to roll out fraud prevention?
Spin up a sandbox in minutes, or talk to our team about a tailored rollout for your compliance and volume requirements.
