OmniTrust

OmniTrust is an advanced fraud detection tool that uses machine learning to enhance transaction security. It is developed by Proof and is purposely built to flag potential impersonation attempts during various authorizations.

OmniTrust uses machine learning to build a comprehensive risk profile of individuals by integrating traditional identity signals with data from an extensive network. Its machine learning model incorporates signals from payment networks, uses IP and location data signals, adopts device fingerprinting, and utilizes transactional data for a comprehensive fraud detection and risk assessment.

OmniTrust can be used across various sectors including Real Estate, Financial Services, and Energy.

The role of deepfake detection in OmniTrust is to safeguard authorizations, specifically against AI impersonation attempts. OmniTrust's deepfake detection capabilities are there to counter fraudulent activities that are increasingly sophisticated.

OmniTrust implements credential and biometric matching by identifying and flagging inconsistencies such as a single individual registering as multiple users, or a biometric scan not matching the registered user.