AI Audit Trail: Tracing Data Usage in Production Workflows

AI audit trails are essential for understanding model decisions in financial operations. These trails must include detailed information about every step, such as inputs and outputs, to ensure transparency. Without accurate records, organizations may struggle to justify their decisions to regulators. Effective audit trails require three layers of data: workflow execution logs, data access events, and model invocation logs. While most teams collect logs, few achieve the necessary level of comprehensiveness. The records must be tamper-resistant and allow for complete reconstruction of each execution.