The Buyer’s Guide to AI Usage Control

Most organizations struggle with AI security because they lack visibility and control over where employees actually use AI tools, including shadow AI (unauthorized tools), browser extensions, and AI features embedded in everyday software. Traditional security tools weren't designed to monitor AI interactions at the moment they happen, creating a governance gap where AI adoption has far outpaced security controls. A new approach called AI Usage Control (AUC) is needed to govern real-time AI behavior by tracking who is using AI, through what tool, with what identity, and under what conditions, rather than just detecting data loss after the fact.