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Enterprise AI Measurement Guide

AI Governance · Policy Enforcement

AI Tool Access Policy

How do we know if our AI tool access policies are current, who is responsible for each one, and which ones need to be reviewed before the next compliance audit?

What it shows

The AI Tool Access Policy table shows the current policy status of every AI tool in the environment: what the access policy is set to (allowed, warned, or blocked), how many enforcement events that policy has generated, and who last updated it and when. It is the single source of truth for the organization's AI tool governance posture at the tool level.

Why it matters

Policy staleness is one of the most common AI governance failures. A policy set 18 months ago when ChatGPT was the only AI tool in the environment may still govern Claude Code, Cursor, Gemini, and a dozen other tools that have since arrived, not because anyone decided those tools should inherit the old policy, but because nobody updated it. The "Last Updated" column makes that staleness visible. The "Last Updated By" column establishes accountability. Together, they answer the question every compliance review eventually asks: who owns AI governance decisions, and how recently were they reviewed?

The Larridin angle

Larridin's policy table converts governance from a document into a live operational artifact, one that shows drift (policies that have not been touched since before the agentic AI era) and accountability (a named individual who owns each policy decision) in a single view.

Related AI Governance Metrics

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