Runlayer, a startup developing a secure control layer for AI tools used in enterprise environments, has closed a $30 million Series A funding round.
The company’s platform is designed to sit between AI applications and the tools they interact with, providing a security layer that monitors and controls how AI agents behave across corporate systems. It’s a space that’s getting attention as more enterprises deploy AI assistants and agents that need access to internal tools and data.
The funding comes at a time when security teams are grappling with how to let AI agents operate freely without opening up new attack surfaces. Runlayer aims to give organizations visibility and control over what AI tools can access and do, essentially acting as a gatekeeper between the AI and the enterprise.
The company didn’t disclose its valuation or the specific investors in the round. But the size of the raise suggests there’s real appetite in the market for AI-focused security infrastructure.
