Solving Real-Time AML Orphan Alerts with Orchestration

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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In the realm of Anti-Money Laundering (AML) compliance, the proliferation of "orphan alerts" poses a significant challenge for financial institutions, as these alerts arise from fragmented data and incomplete onboarding processes, resulting in wasted resources and compliance inefficiencies. Orphan alerts occur when sanctions screening alerts are generated for individuals without an active customer record, leading to a high incidence of sanctions false positives and diverting attention from genuine threats. Real-time AML orchestration is proposed as a solution, integrating identity verification and AML screening into a cohesive workflow that ensures alerts are only generated for verified and active users. This approach reduces false positives by improving data accuracy and contextual screening, which enhances operational efficiency and customer experience. Didit's orchestration platform exemplifies this strategy by incorporating identity verification, biometrics, and dynamic workflows to centralize identity data and automate monitoring, allowing compliance teams to focus on real threats while reducing costs and improving conversion rates.

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