Audit Logging

Audit logging captures information about how an AI system is accessed and used. Logs may record user actions, prompts, model responses, policy decisions, authentication events, tool calls, configuration changes, and security alerts. These records provide teams with a chronological trail of activity that can be reviewed when investigating incidents, troubleshooting problems, or verifying that systems are operating according to established policies.

AI systems can process sensitive data and perform actions across connected applications. Audit logs help organizations identify suspicious activity, investigate security incidents, demonstrate compliance, and establish accountability. They also provide valuable evidence for understanding when, how, and why an AI-related event occurred.