Fraud & risk intelligence
A verified identity is not the same as a safe one
Documents can be genuine and the applicant still fraudulent. eterfaceID collects the surrounding signals — device, network, email, phone and behaviour — and returns them with the identity result rather than in a separate tool.
Signals collected
Device & network
- Device fingerprint and reuse across accounts
- Emulator, virtual machine and automation detection
- Rooted and jailbroken device flags
- Proxy, VPN, Tor and hosting-provider IP detection
- IP geolocation against stated address
- Timezone and language mismatch
- Session behaviour and paste detection
Email, phone & identity
- Email first-seen age and deliverability
- Disposable and temporary domain detection
- Breach exposure and online footprint
- Phone line type, carrier and porting history
- Recently issued or recycled number flags
- Synthetic identity indicators
- Velocity across applications and shared attributes
One risk view, not three dashboards
Fraud signals, verification evidence and screening hits sit in the same case. An analyst reviewing a file sees the genuine passport, the residential address that matched, and the fact that the device has been used on eleven other applications this week — without switching tools.
- Signals attached to the identity case
- Configurable rules by product and segment
- Reason codes on every elevated risk result
- Manual override with mandatory justification
- Feedback loop from confirmed fraud outcomes
- Exportable for your own risk modelling
See eterfaceID against your own onboarding flow
We will walk through your current identification methods, where the gaps sit against FINTRAC and RPAA expectations, and what a live integration looks like.