As organisations move from experimental AI to production-grade agents, they are hitting a critical wall: security. AI agents require deep access to private databases, internal APIs, and staging environments to be useful. However, granting that access using legacy VPNs or manual tunnels is slow and inherently risky. Today, many teams are forced to choose between stifling their agents with restricted access or potentially exposing their private infrastructure to the public Internet to make them functional.

“AI agents are a standard in modern developer workflows, but they’re being throttled by a networking model that was designed strictly for humans,” said Matthew Prince, co-founder and CEO of Cloudflare. “For years, developers have been stuck with the choice between wasting days wrestling with complex, clunky VPNs, or taking the dangerous shortcut of exposing private infrastructure to the open web. Now, Cloudflare Mesh removes that trade-off. We are providing a secure bridge between agents and infrastructure—whether those agents are running on Cloudflare, in a private data centre, or in another public cloud—ensuring every agent a team ships is secure from day one.”

According to the company, Cloudflare Mesh represents a fundamental shift in how organisations manage AI. Beyond simple connectivity, Mesh serves as the foundation for agent identity. In a Mesh environment, every agent—like every human employee—carries a distinct identity. This allows security teams to write granular policies: for example, allowing a coding agent or sandbox to read a staging database while strictly preventing it from accessing production financial records.