Helmet Security provides a security platform focused on protecting AI agents and agentic workflows. The company addresses security risks associated with AI agent infrastructure, including Model Context Protocol (MCP) servers, tool execution, and agent connectivity. The platform offers three core capabilities: discovery, security, and governance. The discovery component maps AI agents, MCP servers, and tool connections across an organization's infrastructure. The security layer includes a verified registry of servers and agent skills that can import from GitHub or OpenAPI specifications, with features for drift detection, supply chain analysis, and secret scanning. The governance component provides real-time policy enforcement to block prompt injection attacks and prevent leakage of personally identifiable information (PII) and secrets. Helmet Security targets threats specific to AI agents, including tool poisoning, prompt injection, excessive agency vulnerabilities, insecure plugins, lateral movement, supply chain attacks, and sandbox escape scenarios. The platform integrates with existing security infrastructure including identity providers, SIEM systems, VPCs, EDR solutions, and cloud environments. The company raised $9 million in seed funding backed by SYN Ventures and White Rabbit. The platform is designed for security teams, platform engineering teams, and governance functions that need visibility and control over AI agent deployments within their organizations.