The AI-native control plane for agentic execution

Kindo is the AI-native control plane for agentic execution across complex technical environments. It is the single governed layer where security, DevOps and IT teams put autonomous agents to work on the operations that used to demand a human at every step.

The agents resolve incidents, roll back bad deploys, and assemble audit evidence. They do it inside your perimeter, under your identity, with every action written to an append-only record. That last part is what makes autonomy something a regulated enterprise can actually deploy: not a black box that acts, but a governed operator that accounts for what it did.

One layer, not another tool

A control plane is not a thirtieth console. It sits above the systems you already run, takes an intent, and maps it onto the tools it is allowed to call. The operator declares an outcome. The plane plans the steps, executes the ones it is permitted, and escalates the judgment calls instead of guessing past them.

Why it holds up in production

Identity-scoped execution, a deny-list safety floor, and per-call audit hooks are the shape of the surface, not features bolted on after. The result is a system a CISO can approve and an analyst can trust, running at machine speed without ever leaving the perimeter.