Skip to main content

AI Governance & Compliance

AI governance is how organizations decide what AI use is allowed — and prove those decisions are followed.

In short: AI governance translates acceptable-use policy into roles, controls, monitoring, and evidence. AI compliance is the ability to demonstrate that those controls work.

From policy documents to enforceable controls

A PDF policy does not stop a risky paste into ChatGPT. Governance needs a control plane: browser inspection, admin roles, and an audit trail security and legal teams can trust.

AI compliance checklist (starter)

Use this as a practical starting point — adapt it to your industry and counsel guidance.

  • Inventory approved AI tools (ChatGPT, Claude, Gemini, Copilot, others)
  • Define prohibited data categories for prompts
  • Assign owners for policy, exceptions, and incident response
  • Enable monitoring and retention appropriate to your risk
  • Train employees and measure exception rates
  • Review logs and update policy on a set cadence

Aegis as a governance enforcement layer

Aegis helps operationalize AI governance by enforcing prompt policies across major AI assistants and preserving evidence for compliance conversations.

Common questions

What is the difference between AI governance and AI security?

Governance sets the rules and ownership. AI security implements technical controls — like prompt inspection — that make those rules real.

Do regulators require AI governance?

Requirements vary by industry and region. Even without a specific AI statute, existing privacy and security obligations often imply control over AI data flows.

Protect prompts before they leave the browser

Aegis is an AI security extension that inspects ChatGPT, Claude, Gemini, and Copilot prompts in real time — so teams can use AI without leaking sensitive data.