Most AI agents running in enterprise environments today were never reviewed by security. Users build them, grant broad permissions to avoid friction, and move on — leaving agents that reason and act autonomously with access far beyond what their workflows require. When models get swapped or tools get added, a well-scoped agent can quietly become a serious risk with no trigger for review.
Inside, you'll find a three-part framework covering discovery, governance, and runtime security — grounded in real-world agent behavior data. The numbers are stark: nearly 40% of agents carry medium-to-critical risk factors, most operate with 10× the access they need, and a single Glean agent downloaded 8 million files while every other user combined moved fewer than half a million.
Download it to move from reactive to structured — with an observe-before-you-block deployment model that builds the evidence base to enforce policy with confidence, not friction.
Start in minutes and secure your critical SaaS applications with continuous monitoring and data-driven insights.
