Passive signals
Improve fraud detection across the life cycle
Collect passive signals during identity verification and extend coverage across the user journey with Sentinel SDK. Use signals independently or cross-reference them to spot inconsistencies that may indicate fraud.
Improve fraud vector capture with multi-signal ensembles
Persona's ensemble models compare signal patterns against their corresponding global distributions, flagging statistically unusual activity as a potential fraud indicator.
Streamline and improve fraud decisioning accuracy
Build rich fraud rules that use both verification checks and passive signals for a more complete picture of fraud risk. Run decisions natively in Persona or integrate with your own platform.
Key features
Automatically collect a variety of passive signals
Behavioral signals Toggle description visibility
Monitor how users interact with your identity verification flow and detect unusual behavioral patterns.
Examples:
Hesitation or distraction events
Time to completion
Suspicious submission metadata
Network signals Toggle description visibility
Identify connection origin, routing, and other network attributes to detect signs of obfuscation.
Examples:
Proxy (e.g., VPN or Tor) usage
IP velocity
Impossible travel
Device and app signals Toggle description visibility
Detect signs of device or app modification that may indicate fraud.
Examples:
Rooted or emulated device signals
Metadata-to-hardware mismatch
Official Apple and Google app integrity signals
Population-level signals Toggle description visibility
Compare signals against data aggregated across Persona's network to surface repeat fraud patterns.
Examples:
ID or selfie repeats
Selfie micro-feature analysis
Forged ID detail cluster analysis
Visual signals Toggle description visibility
Surface subtle discrepancies between selfies and ID portraits that are difficult to detect with the naked eye.
Examples:
ID tampering risk
Deepfake risk level
Selfie-to-DOB mismatch
“With Persona, we can check government IDs and selfie liveness in real time to make sure users are the right age and cross-reference multiple risk signals to help us figure out whether to approve or decline users.”
With Persona Marketplace, you can integrate signals from top data platforms into your risk analysis processes to make better decisions and streamline operations.
