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Practical Governance for Enterprise AI

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Audit Trail

An audit trail is a comprehensive, timestamped record of system activities, user actions, and data changes within an AI system or application. In enterprise AI governance, audit trails are critical for demonstrating regulatory compliance, investigating security incidents, and establishing accountability for decisions made by or influenced by AI models. Organizations use audit trails to trace how data flowed through a system, who accessed sensitive information, and how automated decisions were reached, which is essential for meeting requirements under regulations like GDPR, HIPAA, and emerging AI-specific laws.

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