Find and govern the AI agent assets running in your enterprise

“We leaned into AI-assisted development early and deliberately. We wanted the productivity gains, so we encouraged the experimentation. What concerned me was the flip side: shadow IT was quietly becoming shadow AI, and none of our existing tooling could see it. Agents run locally, on the workstation, configured by whoever set them up.

Optimus Labs closed that gap. We now have an inventory of the agentic tooling actually in use across our engineering fleet. The harnesses, the MCP servers, the skills and plugins, and how each one is configured, plus a backlog of findings with owners attached.”

“Security teams want to know whether the latest threat impacts them, and for AI that means knowing what is actually running on their environment. Very few teams have that level of detail today. Optimus Labs is working on exactly that hard problem, and the product makes it look simple to do everything from visibility to natively delivered enforcement. This is the missing piece in 2026 next to external attack surface and threat intelligence.”

“AI agents are being adopted by engineers faster than most security processes can adapt. For us, the challenge wasn't enabling that adoption, but understanding what was actually running on developer machines and what those agents could access or do.

Optimus Labs gave us that visibility without forcing us to redesign how engineers work. Being able to discover agents, MCP servers, skills and their configurations at the endpoint gave us a much clearer picture of our real agentic attack surface and, more importantly, concrete findings we could act on.

What I have valued most is that it turns a fairly new and abstract security problem into something operational. Instead of trying to govern AI usage through assumptions or restrictive policies, we can see the actual risks, prioritize them, and work with engineering teams to improve the posture while still allowing people to experiment with these tools.”