Free GenAI Policy Generator
Generate four enterprise GenAI policies — Acceptable Use, Data Handling, Model Approval, and Incident Response — aligned to EU AI Act, NIST AI RMF, and ISO 42001 vocabulary. Fill in the fields, download the Markdown. Free, no signup.
4 policies · Illustrative only, not legal advice.
Related framework dimensions: Strategy & Leadership, Governance & Risk.
Policy form
What employees may and may not do with third-party and internal GenAI tools. Covers data classification, model choice, and prohibited uses.
The named accountable role (not a person).
Comma-separated. Determines which regulations apply (EU AI Act, UK ATA, etc.).
Comma-separated. Tools not listed require explicit approval.
Fields you leave empty appear in the output as [fieldname] placeholders so you can spot what still needs to be filled in.
Live preview
# Acceptable Use Policy — Generative AI **Organization:** [orgName] **Owner:** [ownerRole] **Contact:** [contactEmail] **Effective date:** 2026-08-28 **Applicable jurisdictions:** [jurisdictions] **Review frequency:** Annually ## 1. Purpose This policy governs the use of Generative AI (GenAI) tools by employees, contractors, and third parties acting on behalf of [orgName]. It applies to any tool that generates or manipulates text, code, images, audio, video, or structured data using large language models (LLMs), diffusion models, or other generative techniques. ## 2. Scope - All personnel (employees, contractors, temporary staff). - All GenAI tools, whether accessed through [orgName] accounts, personal accounts, browser extensions, API integrations, or embedded features in other products. - All classes of data handled in the course of [orgName] business. ## 3. Approved tools The following GenAI tools are approved for use with [orgName] data at appropriate classification levels: [approvedTools] Any tool not listed above requires written approval from [ownerRole] before use with [orgName] data or on [orgName] devices. ## 4. Explicitly restricted tools The following tools **must not** be used with any [orgName] data: [restrictedTools] ## 5. Data class rules The following classes of data must **never** be submitted to any external GenAI tool, including approved ones, unless the tool has been specifically approved for that class in writing: [dataRestrictions] Personnel are responsible for correctly classifying data before submission. When in doubt, do not submit. ## 6. Prohibited uses Regardless of tool, the following uses are prohibited: - Generating content that impersonates a real person without documented consent. - Producing decisions in domains classified as high-risk under the EU AI Act (recruitment, credit, essential services eligibility, law enforcement) without human review and documented model-approval sign-off. - Circumventing safety or content filters in approved tools. - Using GenAI to fabricate evidence, testimony, or audit artifacts. - Producing or distributing content that violates [orgName] existing conduct, non-discrimination, or intellectual-property policies. ## 7. Attribution and provenance - Personnel must disclose the use of GenAI in any customer-facing artifact when the artifact is materially generated (not just edited) by AI. - Internal artifacts should mark AI-assisted sections when doing so aids review (e.g., code review, decision memos). - Where a tool provides content provenance markers (e.g., C2PA, watermarking), those markers must not be stripped. ## 8. Intellectual property - Personnel are responsible for confirming licensing terms of any GenAI tool used. - Content generated using tools trained on datasets whose licensing is unclear must be reviewed by Legal before external distribution. ## 9. Prompt injection and adversarial content - Personnel must treat model outputs, especially those produced from third-party content (retrieved documents, tool responses, user submissions), as untrusted input. - Do not paste model output directly into privileged execution contexts (shells, SQL clients, production configuration) without human review. ## 10. Exceptions Exceptions to this policy require written approval from [ownerRole]. Exception requests must document (a) the intended use, (b) the data classes involved, (c) the compensating controls, and (d) the review interval. ## 11. Enforcement Violations of this policy will be treated in accordance with existing [orgName] disciplinary procedures. Serious violations may result in termination and, where warranted, referral to law enforcement. ## 12. Review This policy is reviewed **Annually** by [ownerRole] or on demand following material regulatory changes (e.g., EU AI Act implementing acts, sector-specific AI rules) or after any material AI-related incident. --- _Generated from a template published at https://genaimaturity.net/tools/policy-generator. Illustrative only — not legal advice. Review by qualified counsel is required before adoption._
FAQs
What policies does this generator produce?
Four enterprise GenAI policies as downloadable Markdown: Acceptable Use Policy, Data Handling Policy, Model Approval Policy, and Incident Response Policy. Each is a lightly-editable template aligned to EU AI Act, NIST AI RMF, and ISO 42001 vocabulary.
Is the generated policy legal advice?
No. The templates are illustrative starting points curated by the GenAI Maturity Framework team. They must be reviewed and adapted by qualified legal counsel before adoption.
Are the templates aligned with the EU AI Act?
Yes — where relevant. Vocabulary and risk-tier concepts follow the EU AI Act (Regulation 2024/1689), NIST AI RMF, and ISO/IEC 42001. Cross-check specific controls against the Compliance Mapper at /tools/compliance-mapper.
Do I need to create an account?
No. Fill in the fields, download the Markdown. Nothing is submitted to a server unless you explicitly opt in to receive follow-up.
Can I regenerate a policy after editing?
Yes. Change any field and click Download again — the file regenerates in your browser.