Biometric Authentication
Beyond new account sign ups, threat actors enter your network by taking over neglected and dead accounts. One way to manage this risk is to have users verify with a selfie when a dormant account is reactivated. Not only can you verify liveness, but the biometric can be checked against your platform's watchlist to make sure your banned faces stay banned.
Biometric Tokenization
Trust Stamp's Irreversibly Transformed Identity Token (IT2) stores a non-reconstructible but matchable token of biometric data. No biometric template or photo is retained, rendering them useless if stolen and safeguarding your users' personal information.
Duplicate Face Detection
Trust Stamp’s biometric duplicate detection feature flags when the same face is linked with multiple accounts with our proprietary unsupervised machine learning model. This offers a rapid method to identify inauthentic accounts within your network.
Watchlisting
Once a face is determined to be untrustworthy by your team, its token can be added to your watchlist so your system knows every time that face reappears.
Age Estimation
Trust Stamp has the ability to estimate the age range (e.g., 5-8, 12-16, 35-40) of a user based on their selfie, aiding in compliance with global age restriction laws.