AI agents are the fastest-growing category in enterprise software. Over 80% of the Fortune 500 is already deploying active agents — and that number is accelerating. But security has not kept up.
Most organizations have no visibility into how many agents are running, what permissions they hold, what data they access, or how they communicate with each other. Shadow agents, exposed MCP endpoints, and over-scoped permissions are the norm, not the exception.
We built AgentShield because we believe this is the most important security problem of the next decade — and no one was solving it.
The Model Context Protocol (MCP) is becoming the standard for how AI agents connect to tools and data. That is a good thing — it enables powerful automation. But it also creates a new attack surface that traditional security tools were never designed to monitor.
Gartner predicts that by 2028, 25% of enterprise breaches will be traced to AI agent abuse. The window to get ahead of this is now — before the incidents become headlines.
AgentShield is the first dedicated security platform for AI agents. We give security teams complete visibility into their agent infrastructure — what's running, what it can access, and where the risks are — and the tools to fix what matters most.
We are not building another generic security scanner. We are building the security layer that the agent economy needs to scale safely.
We are always happy to talk with security teams, investors, and anyone thinking about AI agent security.
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