Resources
AI agent governance resources
Start with the exact problem you need to solve: control an action, prove an action, map evidence to a framework, or understand the regional rulebook.
Start here
Direct answers
What is agentic compliance?
Applying enforceable controls and evidence to autonomous or semi-autonomous AI systems so their actions can be authorized, supervised, reconstructed and mapped to applicable obligations.
What is the core control point for an AI agent?
The effect boundary: the point immediately before a tool call, payment, write, dispatch or other external action can occur.
How do you prove an AI agent was denied?
Produce a refusal record showing the authenticated identity, policy version, decision, reason and that no authorized effect was created.
How do you govern an AI agent that uses MCP?
Authenticate the agent, resolve authority independently of request fields, validate tool provenance and arguments, apply policy and limits, and keep execution behind the governed path.