Enhanced system and method for identity evaluation using a global score value

Abstract

The proposed system aims to perform regulatory identification in a given transaction context. Through this system, clients validate customers via multiple angles, specifically, risk-based authentication and identity risk analysis. Ultimately the output recommendation helps clients decide whether to proceed with the transaction. Clients use the system in a variety of contexts. In the KYC (Know Your Customer) context, clients often are legally required to vet prospective customers thoroughly. For instance, it might be illegal to do business with someone from a sanctioned country, or someone on a sanctioned list provided by OFAC. In the anti-fraud context, clients have a different set of concerns. They care more about the identity risk of the transaction. They might want to know if an identity they encountered is a synthetic identity, and stop the fraudulent transaction from going through. IDM can provide a recommendation on both of the contexts above, with a measure of estimated confidence. Regulatory identification incorporates the eDNA technology of the system and method disclosed herein and external third-party services, weighs all the factors appropriately depending on the context, and provides an expert view on the transaction.