1. Device intelligence involves verifying device risk used for a transaction through a combination of layered insights about device history and reputation and device-to-account linkages.
2. Database checks cross-reference the individual’s information like email address and phone number with trusted databases, such as credit bureaus, government records and public databases, to help confirm identity.
3. Document verification entails scanning and validating government-issued identification documents, such as passports and driver’s licenses, and using optical character recognition (OCR), facial recognition, ML and AI to check for authenticity, tampering and consistency with official records.
4. Behavioral models monitor and analyze user behaviors, such as typing patterns and interaction habits, to help establish a behavioral profile that can be used to better verify identity.
5. Biometric verification uses unique biological characteristics, such as fingerprints, facial recognition and iris scans, to better verify identity. Biometric data is more difficult to forge and provides a higher level of security.