Database Validation: Verifying Identities Against Official Records
Blog post from Didit
Database validation is a crucial security measure that enhances identity verification by matching user information against authoritative databases, significantly reducing fraud risk and ensuring compliance with AML/CTF regulations. It integrates seamlessly into KYC workflows, automatically verifying user data to boost trust and improve conversion rates during onboarding. In practice, this process involves extracting key data from user-provided documents and verifying it against official sources like national registries, with results categorized as FULL_MATCH, PARTIAL_MATCH, or NO_MATCH. This method not only streamlines the verification process, saving resources and improving user experience, but also ensures legal compliance, especially in sensitive sectors like finance, e-commerce, healthcare, and age-restricted industries. Didit offers a comprehensive solution that leverages AI technology for efficient validation and provides flexible configurations to meet specific needs, with features like OCR and MRZ scanning for data extraction, and options for automated or manual review based on match results.
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