Practical guide
A practical starting point for AI governance policy work
An AI governance starter policy should set basic expectations before AI usage becomes fragmented across teams. It should be simple enough to adopt, but concrete enough to shape approvals, review, and restricted use.
What matters in practice
Approved and restricted AI use
A strong starting point makes clear where AI can support work and where the business does not want AI making decisions, commitments, or external claims without a person in the loop.
Data handling and confidentiality
Governance starts to matter once confidential information, customer content, source code, internal plans, or regulated data could pass through third-party tooling.
Accountability and review
Someone needs to own tool approval, review standards, and vendor checks. Even a lightweight starter policy should make those defaults explicit.
Useful checklist
- Approved use cases
- Restricted data types
- Human review expectations
- Tool approval ownership
- Vendor review considerations
Source references
GuardAxis uses public framework material as reviewer context, not as certification or legal advice.
NIST AI RMF 1.0
Used as a source for AI risk, governance, accountability, and trustworthy AI reviewer themes.
NIST CSF 2.0
Used as a cybersecurity governance and risk-management reference for policy reviewer notes.
OWASP LLM Top 10
Used as a source for LLM-specific security concerns such as prompt injection, data exposure, tool use, and output handling.
CIS Controls v8
Used as a practical cybersecurity control reference for security hygiene and operational guardrail themes.
Related pages
AI Governance
A practical overview of AI governance for businesses that need draft policy workflows, accountable AI usage, and review-ready guardrails.
AI Policy Template
A practical guide to AI policy templates for businesses that need draft AI usage guidelines shaped around company context and review.
Business AI Policy
A practical guide to creating a business AI policy that covers employee usage, sensitive data, review expectations, and governance notes.
AI Usage Guidelines for Business
Practical AI usage guidelines for businesses that need clear employee rules, sensitive data boundaries, and review expectations.
AI Compliance Framework
A careful guide to using AI compliance framework references as reviewer context without treating them as certification or guaranteed compliance.
AI Risk Management Framework
A practical guide to AI risk management framework thinking for businesses building review-ready AI governance and policy drafts.
OWASP LLM Security
A practical overview of OWASP LLM security themes for businesses drafting AI usage policies and reviewer notes.
AI Policy Generator
A practical guide to what an AI policy generator should help a business capture, structure, and review before publishing internal AI usage rules.
Acceptable AI Use Policy Template
A readable overview of what a practical acceptable AI use policy template should include for businesses adopting AI in a controlled way.
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