Model Risk Management
AI Audit Trail Systems
Real-time monitoring and automated logging for high-risk AI models — built for regulatory examinations.
Why Audit Trails Matter
Under OSFI E-23 and SR 11-7, financial institutions must demonstrate ongoing monitoring and traceability for all high-risk AI models. Regulators expect complete logs of model decisions, data inputs, version changes, and validation results — not just at examination time, but continuously.
The SEC, CFPB, and FINRA increasingly require audit-defensible controls for AI systems that impact lending decisions, credit scoring, fraud detection, and customer pricing.
How Saillent Builds Audit Trails
Automated Logging: Capture every model decision, input, and output in real time.
Real-Time Dashboards: Monitor model performance and compliance status continuously.
Version Control: Track model changes, retraining events, and validation history.
Regulatory Reporting: Generate audit-ready reports aligned with OSFI E-23 and SR 11-7.