AI infrastructure security testing focused on logging, monitoring, and audit trails for ML systems. Verifies traceability of model operations, visibility into data access, detection of anomalies in AI resource usage, and post-incident forensics capabilities. Covers training logs, inference, model versioning, and ML infrastructure configuration changes.