AI Security Governance: A Practical Framework

This guide helps security and development teams build effective AI governance. Most teams don’t know what AI they’re running, let alone how to classify its risk or secure components they didn’t build.

What’s inside:

• AI asset inventory – build a current, accurate picture of every model, agent, and AI component in use
• Risk classification framework – prioritize controls based on data sensitivity, decision authority, and system access
• AI supply chain security – govern models, datasets, and components you sourced but didn’t build
• AI security maturity model – see where your organization stands and what it takes to move forward