Stop Relying on Breached Data and Credit Bureaus to Confirm Identity

Traditional identity verification processes that rely heavily on credit-bureau data can enable fraudsters using stolen personally identifiable information while excluding legitimate applicants with limited credit histories, particularly Gen Z, millennials, and new-to-country consumers. Rules-based verification systems can become difficult to maintain and slow to adapt as fraud methods evolve, while biometrics and other authentication tools may reinforce fraudulent accounts if the initial identity check is flawed. The passage argues that graph-based identity verification provides a more comprehensive alternative by evaluating many identity signals in real time with predictive analytics and AI, rather than focusing on isolated elements such as email, phone number, or documents. It presents Socure’s ID+ platform and consortium network as an example of this approach, claiming that its combined intelligence from more than 1,100 organizations improves identity accuracy, reduces false positives, and helps identify known fraud actors.

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