AI Acceptable Use & Governance Policy
Approved tools, the no-sensitive-data rule, human-in-the-loop, and prohibited uses.
NIST AI RMF: GovernYour team is already using ChatGPT, Copilot, and AI scribes. This pack is the governance almost no one has yet — the AI use policy, risk assessment, and vendor checklist that keep AI adoption from leaking data or failing an audit. Built on NIST AI RMF and the OWASP LLM Top 10.
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Five documents that turn "everyone's using ChatGPT" into a controlled, defensible program — mapped to the frameworks regulators and customers now ask about.
Approved tools, the no-sensitive-data rule, human-in-the-loop, and prohibited uses.
NIST AI RMF: GovernScore each AI tool's data, vendor, and model risk before you approve it.
Map / MeasureThe 10 questions to ask any AI vendor — training opt-out, retention, sub-processors, DPA/BAA.
Vendor riskA signed sign-off and a pin-up do/don't card your whole team will actually read.
WorkforceData leakage, prompt injection, agent overreach — what to do, mapped to OWASP LLM risks.
OWASP LLMEvery document references NIST AI RMF and the OWASP Top 10 for LLM Applications.
DefensibleStaff paste customer data into public chatbots, no policy, no record. One leak or one questionnaire and it's a problem.
A written, framework-aligned AI program your team, customers, and auditors can see — in an afternoon.
Bundle AI governance with the Full Compliance Kit — 12 governance templates covering policies, backup, access, training, and more.
Yes. The moment one employee pastes customer data into a public chatbot, you have exposure. A one-page policy + acknowledgment prevents the most common AI data leaks.
The leading frameworks for AI risk and LLM security. Aligning to them makes your program credible to customers, insurers, and auditors.
No — it complements them. AI governance is increasingly part of those audits and customer questionnaires.
Book a free AI Security Snapshot from our home page, or ask about a vCISO retainer with AI governance included.