Geordie AI Raises $30M Series A as Enterprises Race to Govern Autonomous AI Agents
Henry Comfort, CEO and co-founder of Geordie AI, on raising a $30M Series A and what it means for enterprises racing to govern autonomous AI agents.
Henry Comfort, CEO and co-founder of Geordie AI, on raising a $30M Series A and what it means for enterprises racing to govern autonomous AI agents.
Recognized for pioneering technology that enables enterprises to safely scale AI agents
AI agent security company sees 1300% ARR growth in the first five months of the year as global enterprises adopt at scale
Henry Comfort, CEO and co-founder of Geordie AI, on raising a $30M Series A and what it means for enterprises racing to govern autonomous AI agents.
Geordie is recognized for its achievements in Security and Governance for AI Agents
Geordie announces integration with Claude Compliance API to extend security and governance across the Claude Enterprise deployment surface
Go beyond identity to a broader maturity model of prompts, guardrails and behavior
Two Critical RCE flaws and five High-severity vulnerabilities in n8n, exploitable by any authenticated user.
Proactive security controls allow forward-looking teams to secure AI agents at scale
Prompt injection gets most of the attention in AI agent security.
A threat actor compromised the Trivy vulnerability scanner and used stolen CI/CD secrets to cascade into Checkmarx, LiteLLM, and 50+ npm packages.
Meet with the Geordie AI team at RSAC 2026 in San Francisco
Recognized for pioneering technology that enables enterprises to safely scale AI agents
An executive-level introduction to agentic security and governance, designed to help CISOs understand emerging AI agent risks and prepare for adoption.
Security researchers disclosed a tool chaining vulnerability in Claude Desktop Extensions rated CVSS 10/10, but this represents a known risk class in agentic AI systems – not a novel attack.
Authenticated attackers can escape n8n's Pyodide Python sandbox to execute arbitrary system commands with host privileges.
Critical unauthenticated remote code execution vulnerability in n8n workflow automation allows attackers to exploit content-type confusion in Form webhook file upload processing to read arbitrary files, steal credentials, and execute arbitrary code on the server.
Authenticated attackers can escape n8n's Pyodide Python sandbox to execute arbitrary system commands with host privileges.
Critical vulnerability in n8n workflow automation allows authenticated attackers to achieve remote code execution through Git node exploitation
Critical remote code execution vulnerability in n8n workflow automation platform allows authenticated users to execute arbitrary code on the server through specially crafted workflow expressions that escape the sandbox isolation.
Why guardrails that work inside a single system fall short in real agent workflows, and how risk emerges across systems as agents move, connect, and carry context.
A remote code execution vulnerability in Claude Desktop Extensions received a CVSS 10.0 score this week.
Guardrails are often treated as a universal safety layer for AI agents, but they're not.
Geordie AI selected for monitoring and governing AI agents in real time.
The autonomous nature of AI agents requires purpose-built agentic AI governance platforms.
AI Agents aren’t just software.
Building on research from Berkeley, this article outlines five barriers to enterprise AI adoption and the AI governance best practices to overcome them with visibility and accountability.
Building AI Agents promises speed and scale, but developers know the pitfalls.
Enterprises are experimenting with AI agents, but scaling safely requires enterprise AI governance.
APIs, MCPs, and A2A form the foundation of AI Agent systems, yet their roles are often fragmented.
Geordie won the Black Hat Europe 2025 Startup Spotlight.
A practical, deployment-level guide to patching recent mcp-server-git CVEs - explaining how uvx caching, pip installs, and outdated Docker images can leave systems vulnerable, and how to verify you’re actually fixed.
AI adoption is accelerating, but trust and accountability are essential.
What the next Model Context Protocol (MCP) release means for enterprise security and risk teams running AI agents in production.
ACE moves enterprise AI governance beyond static prompts to living playbooks.
Why OpenClaw matters less as a vulnerability story and more as a signal that personal autonomous agents have arrived.
Endpoint controls like EDR and XDR remain critical to enterprise defense, but they weren’t built for AI Agents.
AI adoption is accelerating, but not every investment is safe.
Eight high-to-critical n8n vulnerabilities disclosed in February 2026 invalidate earlier patching guidance.
As AI Agents evolve into autonomous actors, securing them requires techniques beyond identity and access controls.
A practical breakdown of recent n8n vulnerabilities, explaining exposure, risk, and how to choose the right remediation path.
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