How InferTrust™ creates verifiable records for AI-assisted AML decisions, supporting BSA compliance, suspicious activity reporting, and regulatory examination.
Financial institutions deploy AI to detect suspicious transactions, identify unusual patterns, and generate alerts for potential money laundering activity. These AI-assisted decisions trigger significant downstream actions: filing Suspicious Activity Reports (SARs), freezing accounts, and escalating cases for investigation. When regulators examine an institution's AML program, they evaluate whether the AI systems operated effectively and whether decisions were properly documented.
For each AI-assisted AML determination, InferTrust™ Financial captures the detection model version, the risk scoring methodology and thresholds, the resulting action (alert generated, case escalated, SAR filed, or cleared), and the complete investigation and review chain. These records are cryptographically bound, providing FinCEN examiners with independently verifiable evidence of how the AI system identified and processed suspicious activity.
BSA/AML examinations evaluate whether institutions maintain effective systems for detecting and reporting suspicious activity. InferTrust™'s decision records demonstrate that the AI detection system operated within its configured parameters, that thresholds were consistently applied, and that alerts were properly generated and acted upon. This verifiable evidence supports the institution's demonstration of a reasonably designed AML program.
When a SAR is filed based on AI-assisted detection, the institution needs verifiable evidence of what triggered the filing. InferTrust™'s records provide cryptographic proof of the AI detection event, the risk factors identified, and the investigation chain that led to the SAR filing decision. This evidence supports the institution in any subsequent law enforcement inquiry or regulatory review.