Geordie, an AI agent security platform, has been named a Cool Vendor by Gartner in its 2026 AI Software Security report. The London-based company grew its annual recurring revenue 50 times during the first six months of 2026. Geordie's Beam capability was highlighted for its ability to influence agent behaviour proactively. The technology works through an agent's operational infrastructure, using context engineering and policy enforcement to shape decisions without introducing latency. The company recently raised $30 million in Series A funding led by Balderton Capital. It also won the 2026 RSAC Innovation Sandbox and was named to the CB Insights AI 100 list. Geordie provides security teams with visibility into AI agent operations, addressing limitations in traditional gateway-based security approaches.

Geordie recognized as a Cool Vendor by Gartner in 'Coolest Vendor Innovations in AI Software Security' report. The company's unique approach to securing and governing AI agents drives 50x ARR growth in the first six months of 2026 Geordie's approach stood out because it gave us visibility close to where agent activity happens, without forcing us into a more complex gateway-based model." - Sushil Dora, Associate Director of Cybersecurity at OakNorth LONDON, UNITED KINGDOM, July 7, 2026 /EINPresswire.com/ - Geordie was named a Cool Vendor in the 2026 Gartner Coolest Vendor Innovations in AI Software Security report, marking continued validation of the need for security and governance to enable security teams to meet the daily pressure to adopt AI agents at scale. Geordie's Beam capability was called out specifically in the report for its ability to proactively influence agent behavior. This is an approach that Geordie has pioneered so security teams can support the pace of adoption the business requires, as AI agents evolve into critical enterprise infrastructure. Gartner's published criteria recognize vendors it considers innovative, impactful, and intriguing in their market. "Being named as a Gartner Cool Vendor is important industry validation of how quickly security and governance for AI agents is moving up the priority list for security teams," said Henry Comfort, co-founder and CEO of Geordie. "Geordie's approach is purpose-built for the realities of agent architectures, leveraging context engineering to secure how they actually work without introducing latency, giving security teams the confidence to support agent adoption at the pace and scale the business needs." Beam, Geordie's remediation engine, works through the agent's own harness, the operational infrastructure that runs alongside most production agents. By combining context engineering with deterministic policy enforcement, Beam shapes agent behavior at the moment a decision is made, enabling teams to prioritize performance while automating security and governance. Today's tool stack doesn't allow for visibility or control at scale. With AI agents, behavioral risk compounds across context, decisions, tool calls, and memory over time. The existing stack makes it difficult for security teams to have the visibility and governance required to understand how an agent behaves, or to shape what it does, because these tools provide only partial visibility into how AI agents operate. Identity tells you what an agent is permitted to do, but not what it is doing with that permission. Endpoint and network tooling can see execution and traffic, but not how an agent reached a decision or what context it carried into the next step. While gateway approaches represent a logical first step, in practice they create latency at scale, especially in the high-frequency, long-horizon workloads where agents deliver the most value across enterprises. In contrast, Geordie's approach is built around the agent itself, so security teams can see not only what an agent can reach, but what it is actually doing as decisions and tool calls unfold. "One of the key challenges for us was how to secure agentic AI in a practical and scalable way," said Sushil Dora, Associate Director of Cybersecurity at OakNorth. "Geordie's endpoint-based approach stood out because it gave us visibility close to where agent activity happens, without forcing us into a more complex gateway-based model. It gave us the balance of visibility, governance, and architectural simplicity." The Gartner Coolest Vendor Innovations in AI Software Security recognition follows a period of significant momentum for Geordie, including a $30 million Series A led by Balderton Capital, winning the 2026 RSAC Innovation Sandbox, being named to the 2026 CB Insights AI 100, and growing ARR 50x during the first six months of 2026. About Geordie AI Security teams are under pressure to adopt AI agents that are quickly becoming critical infrastructure, yet the current security stack offers partial visibility and gateway approaches introduce latency at scale. Geordie is the AI Agent Security and Governance Platform built for how agents actually operate, allowing organizations to adopt agents with informed confidence, through discovering every agent, mapping what each is connected to, observing how it behaves, and steering it away from risky actions. Trusted by security and AI teams at the world's most forward-thinking organizations. Report citation: Gartner, Coolest Vendor Innovations in AI Software Security, Aaron Lord, Meghan Hollis, Manjunath Bhat, 1 July 2026 GARTNER is a registered trademark and service mark, and COOL VENDORS is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product, or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. 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Startup Geordie AI lands $30M to secure enterprise AI agents. Series A Funding Supports Visibility Across Cloud, Code and Endpoint Environments Michael Novinson (MichaelNovinson) - June 8, 2026 The winner of this year's RSAC Innovation Sandbox contest raised $30 million to provide visibility into artificial intelligence agents across cloud, code and endpoint environments. The Balderton Capital-led Series A round will provide London-based Geordie AI with the resources needed to expand engineering capabilities, accelerate product development and maintain the pace of innovation customers require, said co-founder and chief AI officer Hanah-Marie Darley. She said Geordie AI is developing a security framework designed specifically around AI agent behavior and governance. "Agents are inherently operating across all of these surface areas, often simultaneously," Darley told ISMG. "When you're talking about security, you can't just have something on the endpoint, you can't just have something in cloud solutions. You need something that has coverage across cloud, code and endpoint services, because that's where agents are operating day to day." Geordie AI, founded in 2025, employs 37 people and has raised $36.5 million, having previously received $6.5 million in a September 2025 seed funding round co-led by Ten Eleven Ventures and General Catalyst. The company has been led since its inception by Henry Comfort, who previously spent five-and-a-half years at Darktrace, culminating in a role overseeing global business operations (see: OpenAI's Daybreak Bets on Agentic Cyber Defense). Why organizations struggle with AI agent visibility. Agents are becoming part of core business infrastructure, Darley said, automating workflows, making decisions and executing tasks that were previously handled by employees. Organizations, therefore, can't rely on existing controls designed for users, applications and infrastructure operating within established perimeters. AI agents behave differently, operate autonomously and continuously evolve. "This is not just another small control plane," Darley said. "It's not just a small layer or a security tool. It's really changing business infrastructure. It's really changing materially how businesses operate. And so the type of security paradigm that you need is not going to be a simple tool layer or something that is just going to sit on a point solution that's going to be off to the side." Organizations often underestimate how different AI agents can be from one another, with a Claude-based agent, a Copilot Studio agent and a custom-built enterprise agent all operating differently, using different tools and creating different security risks. And new agent frameworks appear regularly, forcing security teams and vendors to continuously adapt their visibility, monitoring and governance strategies. "That surface area is going to continue to expand, and we need to be right at the front of that," Darley said. "It involves consistent coverage and security as we evolve not only our models and the way that we continue to prioritize proprietary risk and enforcement, but also the way that we continue to stay ahead as the space changes." Many organizations currently lack even a basic understanding of what their AI agents are doing on a day-to-day basis, with existing tools not capturing tool usage, agent-to-agent interactions and autonomous workflows, Darley said. Geordie AI's approach involves profiling agents, establishing behavioral baselines and performing anomaly detection, which helps organizations more easily identify unusual behavior. "One of the things that we continuously do is essentially profile agents," Darley said. "We understand how they operate. We give you behavioral baselines, and we also go into anomaly detection. And that's only going to evolve as we continue to deepen not only our understanding and our customers' understanding of agents, but also as the space continues to evolve and change." How routing activity through gateways introduces complexity. Security architectures that rely heavily on gateways and proxies can provide value during early-stage deployments, but they become increasingly difficult to manage as organizations expand their use of AI agents, Darley said. As agents access more tools, APIs and SaaS services, routing all activity through centralized gateways can introduce operational complexity and performance bottlenecks, she said. "Instead of having to architect all of your workflows through a gateway, you're able to operate with policy enforcement across all of these agents," Darley said. Just as human employees need policies, procedures and training to operate safely, AI agents require contextual information that guides their decisions in machine-readable formats and often need it delivered in real time, Darley said. Security and governance controls must therefore be integrated directly into agent workflows rather than delivered through periodic training or static documentation, Darley said. "For us, that also centers on context engineering," Darley said. "Giving the agents back the same context that you would give your security engineers, but in an agent-readable way." The industry is beginning to move beyond single-agent deployments toward more dynamic models in which agents autonomously hand off tasks to one another and coordinate activities across multiple systems, Darley said. Organizations must therefore understand not only individual agent behavior but also how agents interact with each other, exchange information and collectively execute workflows. "You have to have purpose-built security when it comes to agents," Darley said. "You won't be able to just pivot something from your existing solution, because you'll have gaps - whether that's context gaps, whether that's security control gaps, or whether that is a combination of visibility and control gaps. The key challenge around agents is that they're not the same as traditional software." Executive Editor, Business, ISMG Novinson is responsible for covering the vendor and technology landscape. Prior to joining ISMG, he spent four and a half years covering all the major cybersecurity vendors at CRN, with a focus on their programs and offerings for IT service providers. He was recognized for his breaking news coverage of the August 2019 coordinated ransomware attack against local governments in Texas as well as for his continued reporting around the SolarWinds hack in late 2020 and early 2021.