Geordie AI closes $30M Series A to scale governance infrastructure for autonomous enterprise agents
Enterprises are deploying AI agents at a rate that their security and governance infrastructure cannot keep up with. Unlike conventional software, these agents operate dynamically by planning sequences of actions, calling external tools, reading and writing data, and making decisions across multiple systems simultaneously. The attack surface they create is both sequential and cross-system, which is not something that endpoint detection and network monitoring were designed to handle. This leaves security teams with a fundamental visibility problem.
Geordie AI, a UK-based company co-founded by Henry Comfort, has developed an infrastructure-level platform to address this issue. Using an endpoint-based approach, the platform sits close to where agent activity occurs. This gives security teams a live picture of every agent across cloud, code, and endpoint environments, without requiring changes to existing architecture. The platform operates across five layers: agent discovery keeps an up-to-date inventory of every deployed agent; posture management maps each agent's permissions, tool connections, system prompts, and sub-agents; behavioural observability produces an auditable record of every action the agent takes; risk intelligence maps findings to standards including OWASP, NIST, ISO 42001, and the EU AI Act; and Beam, a remediation suite, intervenes directly at agent level in real time.
Geordie recently closed a $30 million Series A funding round, led by Balderton Capital and with participation from Crosspoint Capital, alongside follow-on investment from existing investors General Catalyst and Ten Eleven Ventures. The round makes the total funding $36.5 million. The capital will support platform development for enterprise security and AI teams, headcount growth across engineering and commercial functions, and a focused push into the US market.
Sources: Geordie AI | Crunchbase
Founders: Henry Comfort and co-founders