AI Security Governance: A Practical Framework

This guide helps security and development teams build durable AI governance that keeps pace with how your teams actually work, without turning every AI adoption decision into a security standoff.

What you’ll learn:

• How to build an AI asset inventory that stays current as adoption accelerates
• A risk classification framework to prioritize controls based on data sensitivity, decision authority, and system access
• How to secure the AI supply chain — models, datasets, and components you didn’t build
• Where your organization sits across 4 stages of AI security maturity and what it takes to reach the next level