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Platform Keystone

AI agent governance for teams using their own tools

An AI agent can read data, call tools, and change systems. Agent governance means deciding which of those actions are allowed, under whose authority, and what evidence should remain afterward.

Start with the actions that matter

A useful evaluation begins with a specific workflow: an agent opening a pull request, querying an internal service, or requesting a deployment. Identify the tools involved, the team responsible, and the permissions needed for each action.

Platform Keystone is being developed to help teams understand and control agent activity while retaining their existing tools. An assisted evaluation starts with the decisions and evidence your organization needs.

What to evaluate in an agent governance trial

Begin with one workflow

Bring a description of the agent, its tools, and an action you need to govern. Together we agree the supported scope and success criteria before setup. The evaluation should produce evidence you can review, including allowed and denied actions and any limitations found.

How does this connect to a developer platform?

Agent governance is one starting point for a wider platform engineering effort. Teams can discuss one agent use case, then explore onboarding and delivery needs when ready. A full platform migration is not required to start the conversation.

Platform Keystone is in development. Assisted trials are scoped individually; integrations, available capabilities, duration, and any third-party costs are confirmed before setup.

Discuss a focused assisted trial

Tell us about your team, your existing tools, and the outcome you want to evaluate.

Request a free assisted trial →