The Agentic AI Governance Guide
A practical playbook for how to govern AI on every endpoint, from inventory to enforcement.
What's inside
- Building an AI artifact inventory across every endpoint, covering agents, MCP servers, extensions, skills, plugins, secrets, hooks, and CLIs
- Classifying MCP servers and inferring their real capabilities: filesystem, shell, network, and credential access
- Writing enforceable policies that hold up in practice, like no blanket Bash(*) or Write(*), approved MCPs only, and no plaintext secrets
- Routing violations where your team already works: SIEM, Slack, email, and Jira
- Detecting dangerous capability combinations and catching risky changes in real time
- Keeping a 90-day audit trail so "what changed last Thursday?" becomes a single query
- Rolling out across the fleet without sandboxing developers or blocking the workflows they depend on
About this guide
Agentic AI has spread faster than any security team can track. Engineers install MCP servers, employees wire up assistants, and capabilities accumulate on endpoints with no inventory, no owner, and no audit trail. This guide is written for the CISOs and security engineers who have to govern that surface without grinding productivity to a halt. It treats AI agents and MCPs as what they are: the new shadow IT, sitting on endpoints you already manage but cannot yet see.
The approach is grounded in a single principle: you can't govern what you can't see. We start with discovery, building a multi-signal inventory of every AI artifact and its real capabilities, then move to classification, enforceable policy, and continuous evaluation that routes violations to the tools your team already uses. The goal is a rollout that complements your existing Network, EDR, DLP, and GRC stack rather than replacing it, and that lands without sandboxing developers or blocking the work they came to do. Anomity is in early access, so this guide reflects how we think about the problem, not a roster of customers or fabricated metrics.