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Guides for governing AI with confidence

Checklists, frameworks, and definitions for security, IT, governance, and AI platform teams. Start with a guide or browse by topic.

Field guides

Start with these guides

Practical frameworks you can use in your next evaluation, rollout, or review.

AI Governance6 min read

How to evaluate an AI governance platform in one workflow

Use one realistic workflow to test discovery, policy, approval, failure behavior, and evidence. This run sheet works for any AI governance platform, including Halo.

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MCP & Tools5 min read

A practical checklist for MCP governance

Follow one agent tool call from server inventory to authorization, approval, execution, and evidence with this seven-step MCP governance checklist for security teams.

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AI Governance5 min read

What is an AI governance platform?

An AI governance platform connects AI inventory, decisions, runtime controls, and evidence for each system. Learn what it does and how to test one with a real use case.

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Compliance & Evidence5 min read

What should an AI audit log contain?

A useful AI audit log lets a reviewer reconstruct a consequential decision. Learn which fields to record, how to handle prompt content, and how to test the result.

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Compliance & Evidence5 min read

The EU AI Act timeline, translated for governance teams

The EU AI Act phases in over several years. See what each date means as a decision your team makes and a record you keep, and confirm the current official timeline first.

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AI Governance5 min read

How to roll out AI controls without surprising your teams

Start in observe mode, move to warn, then enforce. Measure false positives, communicate each change, and keep a path back so the teams you govern keep trusting the controls.

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