About
Building the trust layer for AI agents.
AI adoption is creating a new security boundary — not just around users and apps, but around autonomous agents acting with credentials, tools, and budgets. Lumkey sits at that boundary.
Why we exist
Agents need a control plane.
Most teams adopting AI agents face the same early problem: to give an agent access to a model provider, you hand it a raw API key. That key has no policy attached to it. No budget limit. No audit trail. No approval queue. No way to revoke access for one agent without revoking it for everything sharing the key.
Lumkey replaces that pattern. Agents get a Lumkey key instead of a raw provider key. Behind that key is a policy engine, an audit log, a human approval queue, anomaly detection, cost controls, and a provenance layer. The provider key never leaves Lumkey's protected runtime.
The goal is simple: let engineering teams ship AI agents at speed, while giving security and compliance teams the controls they need to say yes.
The problem, plainly
Raw provider keys handed directly to agents, scripts, and contractors.
No real-time enforcement of what agents are allowed to do.
No audit trail that holds up under incident review.
Runaway spend before anyone notices.
No clean way to onboard customers in multi-tenant platforms.
Security teams blocked from saying yes to AI adoption.
How we think
Security is a product feature
We treat trust as something customers can see, verify, and reason about — not just a backend implementation detail. Every design decision starts with the question: what would a security team need to be comfortable here?
Control without friction
Governance that slows down engineering teams doesn't get adopted. We build controls that fit inside existing workflows, not around them. If it's painful to use, it doesn't count as secure.
Built for operators
Our customers are the people responsible for what AI systems do in production. We design for their needs: clear audit trails, deterministic policy enforcement, and controls that hold up under pressure.
Honest about the model
Lumkey is a controlled-service architecture, not a zero-knowledge system. We say so clearly. We'd rather tell customers the precise truth about what we protect and how than overstate claims that don't hold up.
Team
Small team, serious problem.
We are a focused team building infrastructure for the way AI agents actually get deployed — not the idealized version. We have backgrounds in security, platform engineering, and developer tooling. We care about correctness, honest messaging, and building something that holds up in production.
Get in touchReady to take control?
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