Practical guides to the frameworks you are measured against and the problems that
show up in between them — written for the people who have to make governance work,
not just document it.
Why 'a human reviews high-risk actions' fails as a policy, and how to make it a condition the proxy checks against each tool call's arguments and holds.
Plain definitions for the terms that come up in AI governance work: regulation, risk assessment, agents and MCP, shadow AI, and the telemetry underneath it all.
A step-by-step walkthrough of EU AI Act classification: role, prohibited practices, Annex III, the Article 6(3) derogations, and the obligations each triggers.
AI agents are governed by what they can invoke. How to observe MCP servers and tools at the proxy, build an allowlist from evidence, and then enforce it.
OAuth grants, device inventories, endpoint telemetry, DNS logs and self-reporting. What each shadow AI discovery method sees, and what each one misses.