Agents Speak Intent, Not Implementation
MCP secures the pipe. It doesn’t govern the action.
The Model Context Protocol standardizes how agents discover and call tools. It says nothing about whether a given call should be allowed — and that question is the whole game.
Govern at the Choke Point
Your Agent Doesn't Have a Choke Point
When every agentic feature wires its own way out to production, governance becomes something you re-establish in a dozen places — and you only have it where someone remembered to add it.
Audit the Why, Not Just the What
Policy Rules Should Be Tested Before They Fire
Every other category of software configuration is tested before it reaches production. Policy rules that govern AI agents are not. That gap is going to matter.
AI Proposes, Rules Decide
The Automation Reflex Breaks Down at the Governance Layer
The instinct to automate everything that is slow or expensive is almost always right. Governance is the exception - and understanding why matters for any team deploying agents at scale.
AI Proposes, Rules Decide
There Are Two AIs in Every Agentic System. Most Teams Only See One.
AI agents are reshaping enterprise software. So is AI tooling for the people who run enterprise software. Conflating these two is one of the most common architectural mistakes we see.
Govern at the Choke Point
The Three Things That Break When Agents Touch Production
Most agentic projects don't fail at the model. They fail at the joints - the places where intent meets identity, policy, and consequence.