AI Audit +

Show the evidence.

Define the audit scope, verify evidence, test controls, and turn findings into assigned remediation tasks.

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For internal audit, risk, and control owners

Inside AI Audit +

What you can do.

Audit scope

Define audit boundaries and responsibilities using registered assets, assessment projects, and lifecycle records.

Evidence verification

Review the connections between assessment answers, supporting materials, control gaps, reports, and versions.

Control testing

Check control design and operating effectiveness against published rules and lifecycle approval requirements.

Findings & remediation

Turn audit findings into governance tasks with owners, due dates, and a tracked status.

Connected governance

Where it fits.

Audit reviews the evidence behind governance work. It draws on risk assessments from AI Risk + and stage records from AI Lifecycle + so findings can be followed through to remediation.