Event-Driven Testing for API-First KYC

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Event-driven testing is presented as a method for validating API-first KYC systems that rely on asynchronous event flows among services handling document verification, biometrics, fraud detection, and AML screening. Rather than testing isolated API endpoints, it simulates realistic and adverse events, monitors webhook notifications and service responses, verifies event sequences, payloads, system state changes, and error recovery, and traces complete onboarding workflows through approval, rejection, or manual review. The approach is intended to improve early defect detection, security, regulatory compliance, resilience, scalability, and user onboarding experiences, particularly where concurrent services and message brokers create testing complexity. Using Didit as an example, the text describes testing verification sessions through its APIs, webhooks, sandbox environment, and workflow tools, including scenarios involving invalid documents, deepfakes, AML matches, and webhook delivery failures.

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