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MCP AI agent security startup Runlayer launches with $11M from Khosla’s Keith Rabois and Felicis

Runlayer debuts with $11M to secure the next generation of AI agents

Key Insights

Runlayer has launched with $11M in funding to secure AI agents using a multilayered MCP-based architecture. The startup focuses on security, integrity, and behavior-validation for agentic systems running in enterprise settings.

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Runlayer wants to secure the rise of agentic AI


As AI agents gain autonomy, Runlayer is building the security layer that validates and governs agent behavior across enterprise workflows.

What Runlayer provides


- A Model Context Protocol (MCP) security wrapper.
- Tools to validate agent requests and outputs.
- Policy enforcement engines for sensitive tasks.

Why this matters


- As agents gain planning and execution powers, security risks multiply.
- Enterprises need auditability and trust boundaries for agent actions.
- Runlayer targets the emerging market of agent-security infrastructure.

Why it matters


- Helps prevent unintended or unsafe agent behaviors.
- Could become foundational as agent workloads proliferate.
- Highlights a new category: “agent security platforms.”

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