Developer's SDK: Advanced Error Handling for Global Database Validation
Blog post from Didit
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Global database validation is a complex process that involves verifying user identities against national and international databases, often requiring sophisticated error handling and compliance with regulatory standards like KYC and AML. Developers face challenges such as diverse data sources, country-specific regulations, and varying data quality, necessitating advanced strategies for handling outcomes such as full, partial, or no matches. Didit, an AI-native platform, offers a robust Database Validation API that simplifies this process by providing detailed JSON reports and configurable verification settings, allowing developers to build resilient and compliant verification workflows. The platform's architecture supports the integration of modular identity checks, enabling automated and nuanced decision-making based on validation outcomes, and ensuring high accuracy through features like 1x1 and 2x2 matching and a waterfall multi-provider approach. Didit also offers configurable actions for different validation scenarios, enhancing compliance and user experience, and provides a free Core KYC tier to make enterprise-grade identity verification accessible.
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