Automated Compliance Reporting: Webhooks & Data Lakes

Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.

Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

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Webhooks and data lakes can automate compliance reporting by sending identity verification outcomes, such as ID checks, liveness tests, face matching, AML screening, and proof-of-address results, to centralized storage in real time. This approach reduces reliance on manual reporting processes, supports continuous monitoring, preserves detailed audit trails, and enables organizations to query raw and structured verification data for regulatory submissions, risk analysis, and audits. The proposed pipeline involves receiving verification events through secure webhooks, validating them with HMAC signatures, ingesting structured data into a data lake, and using it to produce reports and monitor changes such as new sanctions matches. Didit is presented as a provider of modular identity-verification tools, structured outputs, webhook integrations, exports, and a free core KYC offering intended to support scalable automated compliance workflows.

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