AI agents are deploying faster than security teams can track them. No-code platforms let anyone spin up agents with real permissions and real blast radius — often before security knows they exist. Orphaned tokens persist, over-privileged workflows become templates, and the security debt compounds fast.
Traditional tools — SIEMs, CASBs, DLP — were built for human-scale activity and miss agents operating through trusted integrations at machine speed. Even agent-specific point tools stop at the agent itself, with no visibility into the cross-system access chains where real risk lives. This paper introduces Meta's Rule of Two as a concrete enforcement benchmark and maps the full journey from inventory to runtime enforcement.
Whether you're discovering what agents are running or already governing at scale, download this paper to understand where your tooling falls short and what it takes to govern AI agents before the next incident forces the question.
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