Building the security layer for the agentic era
KeyRunner started as a developer API client built around one principle: secrets should never leave your infrastructure. That same principle now powers our enterprise agent runtime, where AI agents call approved APIs without ever receiving a credential.
Why we built KeyRunner
The API client came first. The agent runtime is where it was always heading. Here is the thread that connects them.
Why we started
KeyRunner started from a simple frustration: API teams were being asked to move faster while handling more secrets, more environments, and more risk. The tools available forced a choice between developer speed and security control. We built the first version to eliminate that choice.
What we saw coming
As AI agents began calling enterprise APIs autonomously, the problem got harder. Organizations were handing agents the same API keys developers use, with no policy enforcement, no audit trail, and no way to revoke access short of rotating the key. Agent identity solves authentication. It does not solve what the agent does with the credential after.
What we believe
Agents should get actions, not API keys. Security should be enforced at the execution layer, not configured once and trusted forever. Every API call an agent makes should be policy-checked, credential-safe, and fully audited. That is what a secure agent runtime does.
What we are building
A two-product platform: a free local-first API client for developers who care where their secrets live, and an enterprise secure agent runtime that converts those same APIs into governed, agent-callable actions, with runtime credential injection, policy enforcement, and immutable audit trails.
Give agents capability. Not credentials.
Start with the free API client for developers. Add policy enforcement, credential isolation, and audit trails when your agentic workflows need enterprise-grade governance.
Credentials are injected at runtime, inside your infrastructure. Agents invoke named actions, nothing more.