ID Verification Gaps: Solving Document Coverage Issues
Blog post from Didit
In the realm of online identity verification, inadequate document coverage poses significant financial risks and operational challenges, as systems often reject legitimate users due to unrecognized IDs, particularly when entering new markets. This issue is compounded by a focus on popular document types, which neglects the diverse range of global identification forms and exposes systems to fraud risks through the exploitation of less common documents. A comprehensive strategy that integrates alternative data sources and continuous monitoring is crucial to address these gaps, with techniques such as biometric verification, device fingerprinting, and behavioral biometrics serving as compensating controls. Proactive investment in expanding document coverage, analyzing verification failure rates, and updating document libraries is more cost-effective than reactive remediation. Didit’s platform exemplifies this approach by offering support for over 14,000 document types, incorporating AI-powered validation, and providing customizable workflows to enhance the robustness of identity verification processes.
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