Event-Driven Architecture for Scalable Real-time AML

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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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Event-driven architecture is presented as a way for financial institutions to replace delayed batch-based AML processes with real-time monitoring of transactions, logins, identity checks, and profile changes. In this model, independent services publish and consume events through brokers such as Apache Kafka or Amazon Kinesis, enabling scalable, resilient systems in which identity verification, sanctions and PEP screening, fraud analysis, and case management can operate independently while sharing timely information. The approach can improve fraud prevention, regulatory responsiveness, auditability, operational efficiency, customer onboarding, and adaptability to new data sources and AI-driven detection methods. Didit positions its AI-native, developer-focused platform as a modular component for such architectures, supplying identity verification, liveness and face matching, AML screening and monitoring, workflow orchestration, APIs, and a pay-per-successful-check pricing model.

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