Topic

Audit Trails

Audit trails are detailed logs that record all actions, changes, and transactions within an AI system or governance framework, including who performed each action, when it occurred, and what was modified. They are essential for enterprise compliance because they provide the evidence needed to demonstrate accountability, detect unauthorized access or changes, and satisfy regulatory requirements like HIPAA, SOX, and GDPR. For AI governance specifically, audit trails help organizations track model versions, data usage, algorithmic decisions, and access controls, enabling them to investigate incidents, identify risks, and prove due diligence during audits or investigations.

1 item

Corporate PolicyGlobal2026-06-13

Attentive's Agentic AI Framework Sets a Corporate Benchmark for Agent Identity and Audit Trail Controls

Attentive has published a corporate governance framework for agentic AI that mandates unique identity per agent, precise permission scoping, and comprehensive audit trails capturing agent reasoning and decision alternatives. The framework, released in June 2026, establishes internal standards intended to prevent shared credential risks and ensure decision-making logic is logged for compliance review. It represents a detailed, operationally specific example of enterprise-level agentic AI governance in practice.

agentic AI agent identity audit trails credential management permission scoping