Helmet Security, a US-based cybersecurity company focused on securing emerging agentic AI systems, has secured $9m in backing as enterprises race to connect AI agents across their technology stacks.
The funding was led by SYN Ventures and WhiteRabbit, who together backed the company’s development as demand grows for oversight of Model Context Protocol (MCP) communications. MCP has become a core integration layer for linking AI agents with software and data, with more than 17,000 servers deployed since its introduction in November 2024.
Helmet Security, developed in partnership with several Fortune 500 CISOs, focuses on discovering, monitoring and applying policy controls across MCP servers and other emerging forms of agent-to-agent connectivity. The business claims this addresses a visibility gap traditional security platforms cannot resolve.
The fresh capital will be used to strengthen the company’s platform and expand its capabilities to secure future AI-to-AI communication patterns as they evolve. The business intends to extend beyond MCP oversight and serve as foundational infrastructure for securing dynamic agentic systems.
Much of Helmet’s value proposition centres on its ability to give CISOs immediate transparency over how AI systems interact, where communications occur, and where unmanaged connections may pose risk. Its offering is positioned as business-first, enabling organisations to act quickly on threats without slowing innovation.
Helmet is led by CEO Fred Kneip, a long-time security and risk executive, and CTO Kaushik Shanadi, an established security architect. The platform integrates with existing enterprise tooling, including EDR systems and API frameworks, to detect connections, bring them under management and enforce policy instantly.
Kneip said, “AI is a new security frontier. There are a lot of technology products out there, but no-one is addressing the business security problem of MCP, until now. Helmet helps CISOs understand what servers are already in their environment, what information they are sharing, and who is using them. It then allows for simple policy enforcement to reduce the attack surface.”
Shanadi said, “Security and productivity are often at odds, and AI agents are no exception. By covering the full MCP lifecycle today and preparing to secure the emerging A2A methods for tomorrow, we help developers maintain speed while giving CISOs real guardrails. That’s what makes this platform workable and impactful in real enterprise environments.”
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