88% of organizations now use AI in at least one business function, yet average AI risk maturity is stuck at 2.35 out of 5.0. That's the "reactive" level. Across 2,400+ assessments in 21 countries and 16 industries, Cye found the same fault line in every framework. Organizations write strong AI governance, but they fall furthest behind on the functions that act on it, such as enforcement, protection, and response.
Policies without enforcement don't reduce risk. They create a false sense of security. This playbook gives security leaders seven practical steps to close that gap, starting with the fundamentals. Each step is mapped to NIST CSF 2.0 and NIST AI RMF 1.0.
What's inside:
Where your industry stands on shadow AI exposure, from 5% in financial services to 71% in transportation Why Govern outscores Manage in AI risk, and what that gap costs you Seven concrete "Do this" actions: map your AI, assign ownership, fix the basics, extend vendor risk to AI, monitor before you scale, drill real scenarios, and treat regulation as a floor, not a finish line
