Designing Developer Workflows for Custom Blocklists and Allowlists

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Custom blocklists and allowlists strengthen identity-verification systems by blocking known fraudsters and accelerating onboarding for trusted users, reducing fraud risk, manual review, and operational costs. Effective implementations use centralized, API-accessible databases, support near-real-time updates and audit trails, and enable granular decisions based on attributes such as faces, identity documents, phone numbers, and email addresses rather than only whole user profiles. These controls can be applied before, during, and after verification, including automatically blocklisting suspicious users following failed checks or liveness concerns and allowlisting vetted partners or internal users. Didit presents its AI-native, API-first platform as a tool for building such workflows, offering programmatic blocklist management, configurable workflow logic, identity-verification features including document checks, liveness, facial matching, and AML screening, plus a free core KYC tier and pay-per-successful-check pricing.

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