Selfie liveness detection
Key features
Deploy your multi-layered approach with proprietary signals, the latest models, and dynamic friction
Alignment with EU standards for injection attack detection Toggle description visibility
Persona’s multi-layered solution aligns with CEN/TS 18099:2024 standards.
Industry-leading library of proprietary signals Toggle description visibility
Collect the widest array of signals to fully understand the context surrounding selfie submissions.
Frequently updated analysis models Toggle description visibility
Automatically use the latest proprietary models, purpose-built by Persona’s specialized research and fraud teams.
Multi-frame analysis Toggle description visibility
Capture and analyze multiple selfie frames to enhance accuracy and reduce fraud.
Compromised hardware detection Toggle description visibility
Flag emulators, rooted devices, and other types of compromised hardware fraudsters use to perform injection attacks.
Scaled attack protection Toggle description visibility
Link selfies with similar characteristics back to the same threat actors or fraud rings so you can block scaled attacks.
Configurable settings and checks Toggle description visibility
Adjust image quality requirements, face obstruction detection, retry attempts, and more to meet nuanced compliance, fraud, and business requirements.
Equitable across demographics and devices Toggle description visibility
No instances of material bias across sex, skin tone, and age with streamlined UX on all modern operating systems and devices.
Auto-capture Toggle description visibility
Automatically capture photos at the ideal moment to decrease user error.
User guidance Toggle description visibility
Users receive gesture guidance to decrease user error and provide valuable fraud signals.
Extensively tested and certified by third parties
Persona selfie recognition has achieved superior results for face matching, liveness, and age assurance.