Free Resource

Free AI Acceptable Use Policy Template

A drop-in AI acceptable use policy template for IT, security, and compliance teams. Covers approved tools, prohibited data, personal-account use, monitoring, violations, and exception requests. No email required. Copy or download below.

The template

Replace bracketed placeholders ([COMPANY NAME], [DATE], etc.) with your organization's information. Have your legal counsel review the final policy before formal adoption.

How to use this template

A three-step rollout

  1. Customize: Replace placeholders, populate the Approved AI Tools table with your organization's specific tools and DPAs, and adjust the data categories to match your data classification policy.
  2. Review: Have your legal counsel and HR review the policy. Adjust monitoring language to comply with the jurisdictions where you operate (employee notification requirements vary by country and US state).
  3. Roll out: Distribute via your HR system, collect acknowledgements, and pair the policy with a technical enforcement layer like ShadowLock's shadow AI detection so the policy is enforceable rather than aspirational.

Frequently asked

Template FAQ

What should an AI acceptable use policy include?

A strong AI acceptable use policy covers: which tools are approved, which data is prohibited from being submitted to AI tools, rules about personal accounts, employee acknowledgement of monitoring, how violations are handled, and an exception request path for new tools. Our free template covers all seven sections.

Is this AI acceptable use policy template free?

Yes. The template is published under a permissive use license: you can copy it, modify it, and adopt it inside your organization at no cost. We ask only that you have your legal counsel review it before formal adoption.

Do I need to write a separate AI policy if I have an acceptable use policy already?

You can either embed AI-specific language into your existing AUP or maintain a separate AI policy. We recommend a standalone AI policy initially because the AI landscape changes faster than general technology policies. Keeping AI rules separate makes them easier to update.

How often should I update my AI policy?

Annually at minimum, with interim updates triggered by major events: a new AI tool entering wide use in your organization, a new regulation (EU AI Act, US state AI laws), a SOC 2 audit finding, or a material AI vendor change (a tool changing its data retention terms, for example).

How does ShadowLock help enforce this policy?

ShadowLock provides the technical enforcement layer that makes a written policy real. It detects AI tool usage on managed endpoints, classifies content on paste, and blocks sensitive data from reaching unapproved AI tools, producing the audit log that auditors and underwriters increasingly expect. See our AI governance platform for details.

Make the policy enforceable

A written policy without a technical control is a SOC 2 weakness. ShadowLock turns your AUP into a working program.