Geordie AI provides an agent-native security and governance platform that gives enterprises real-time visibility, behavior monitoring, and risk mitigation to safely deploy autonomous AI agents. Pulse 2.0 interviewed Geordie AI co-founder and CEO Henry Comfort to learn more.
Henry Comfort’s Background
Could you tell me more about your background? Comfort said:
“My path into cybersecurity has been pretty non-traditional. I started in professional football in the UK and built a statistical model to help clubs recruit managers. That led to me becoming COO of a professional football club almost straight out of college!”
“From there, I moved into cybersecurity with Darktrace, where I rose to lead global operations as the company scaled through IPO and the exit. My time at Darktrace enabled me to see how great an impact cybersecurity has on society and the pivotal role it plays in enabling a strong economy.”
“At heart, I love to build teams and work on hard technical problems that really matter. That’s what led me to build Geordie.”
Formation Of The Company
How did the idea for the company come together? Comfort shared:
“The idea came from seeing how quickly agentic AI was starting to change how companies operate.”
“When we spoke to CISOs and enterprise teams, the same issue kept coming up. They wanted to use agents, but they had no clear visibility into what those agents were doing or what risks they were creating.”
“We saw teams either holding back completely or moving ahead without control. We developed a strong conviction that the growing gap would become a huge problem. We believed there was a way to help organizations adopt agents safely while still enabling innovation, but it would require a different technical approach that fits the nature of agents. That belief became the foundation for Geordie.”
Favorite Memory
What has been your favorite memory working for the company so far? Comfort reflected:
“Winning the RSAC Innovation Sandbox 2026 is a standout moment.”
“A year before that, we didn’t even have a product. Then we’re on stage in front of some of the best security leaders in the world and we were named the most innovative startup in cybersecurity. That was a proud moment for the whole team.”
“That said, the best moments are usually with customers. When someone can suddenly understand their agent footprint for the first time and natively mitigate the risk in ways they otherwise couldn’t, that’s when it really clicks that we’re building something transformative.”
Core Products
What are the company’s core products and features? Comfort explained:
“Geordie is an agent-native security and governance platform designed for organizations using AI agents.”
“We help teams understand where their agents are, what they can do, what they are doing in real time, and what risks they create. The platform brings together data from code, APIs, and endpoints to give a full picture across the business.”
“A core part of Geordie’s innovation that is purpose-built to address the true nature of agentic risk is Beam, our real-time risk mitigation engine. Beam guides agent behavior using context engineering so that organizations can stay in control without disrupting operations.”
Challenges Faced
Have you faced any challenges in your sector of work recently? Comfort acknowledged:
“One of the biggest challenges has simply been timing. We’re building in a category that didn’t really exist before.”
“Early on, a lot of people thought this problem was too early or even hypothetical. We had to spend time helping the market understand that agentic risk isn’t coming; it’s already here.”
“The way we’ve approached that is by working very closely with early adopters. Instead of trying to force a narrative, we’ve built alongside customers who are already leveraging agents. That’s allowed us to stay grounded in real problems rather than theory.”
Evolution Of The Company’s Technology
How has the company’s technology evolved since launching? Comfort noted:
“We’ve evolved incredibly quickly. In some ways, weekly or even daily.”
“From day one, we made a deliberate decision not to retrofit existing security models. Instead, we built architecture specifically for agents, which are systems that are non-deterministic, autonomous, and constantly evolving.”
“What that means in practice is going deeper into behavioral understanding, contextual governance, and real-time intervention instead of leveraging a gateway because ‘that’s how we’ve always done it.’ As we’ve worked with customers, we’ve continuously expanded what the platform can see and control, especially across different environments and agent types.”
Significant Milestones
What have been some of the company’s most significant milestones? Comfort cited:
“A few moments stand out. Raising our seed round with General Catalyst and Ten Eleven Ventures was an important step, as was coming out of stealth and launching the product. Being selected for and then winning the RSA Innovation Sandbox was another big moment for the team.”
“Most importantly, though, has been onboarding our first set of enterprise customers. That’s always the clearest signal that you’re solving something real, and it’s what we focus on the most.”
Customer Success Stories
Can you share any specific customer success stories? Comfort highlighted:
“One example is our work with Owkin, an AI-first organization that was already using agents across more than 15 different platforms but didn’t have a clear view of what was actually in use.”
“Before working with us, they couldn’t confidently answer where their agents were, how they were being used, or what risks they were creating. Within a short period, they were able to build a unified inventory across endpoints, code, and APIs, and start understanding behavior in a much more granular way.”
“That visibility led to some immediate impact. They identified personal account usage at the endpoint level and migrated that into approved enterprise environments, which helped reduce data leakage risk. They also used adoption data to make more informed decisions around tooling and spend.”
“More broadly, it shifted how teams worked together. Developers could start to understand and take ownership of agent risk alongside security, rather than everything sitting with one team.”
Funding/Revenue
Are you able to discuss funding and/or revenue metrics? Comfort revealed:
“We’ve raised a $6.5 million seed round led by General Catalyst and Ten Eleven Ventures, alongside some fantastic angel investors from the cybersecurity space. We also received a $5 million investment from RSAC for being one of the top finalists of the Innovation Sandbox Contest.”
Total Addressable Market (TAM)
What total addressable market (TAM) size is the company pursuing? Comfort assessed:
“We’re initially targeting a $2.5 billion market across the US and Europe, focusing on enterprises with more than 1,000 employees. We expect that to grow as agent adoption expands.”
Differentiation From The Competition
What differentiates the company from its competition? Comfort affirmed:
“The core differentiator for us is Beam, our real-time risk mitigation engine that manages AI agent risk through context engineering.”
“Rather than reacting after something goes wrong, Beam guides agent decisions as they happen. It applies policy in context, reduces risk, and keeps agents aligned with enterprise rules without slowing things down or breaking workflows.”
“More broadly, we focus on what autonomous systems actually do once they have access, not just access itself. That gives organizations continuous visibility, accountability, and control as agents scale.”
“To work across any environment without requiring re-architecture or inducing latency, our platform does not rely on a gateway, which gives teams the freedom to scale agent usage without bottlenecks or friction. We also don’t require a specific SDK for where your agents are built, allowing us to discover, analyze, and manage risk across cloud, code, and endpoints without disrupting existing workflows.”
Future Company Goals
What are some of the company’s future goals? Comfort emphasized:
“Our goal is to become the backbone of trusted agentic AI adoption, the system that organizations rely on to move forward with confidence.”
“In the near term, that means continuing to deepen our platform, expand our customer base, and stay very close to how the space is evolving.”
“Longer term, we want to be the standard for how agentic systems are governed, the place where visibility, accountability, and control all come together.”
Additional Thoughts
Any other topics you would like to discuss? Comfort concluded:
“One thing I’d emphasize is that this isn’t about slowing innovation down. It’s about enabling it.”
“Agents are going to fundamentally change how businesses operate. The question is whether organizations can adopt them safely and confidently. Our job is to make sure they can, and to help them move forward with the lights on.”
“And if we get that right, the impact is going to be pretty significant.”
