Geordie AI Unveils Beam to Secure the Autonomous AI Agent Frontier

SAN FRANCISCO, CA – March 23, 2026 – As the technology world converges on San Francisco for the RSAC Conference, London-based startup Geordie AI has captured the spotlight, unveiling a new security suite designed to tame the wild frontier of enterprise AI. Taking the stage at the prestigious RSAC Innovation Sandbox, CEO Henry Comfort introduced Beam, a solution built to address the rapidly growing risks posed by autonomous AI agents.

The announcement comes at a critical juncture. Businesses are racing to deploy AI agents—autonomous programs that can execute tasks, use tools, and make decisions in real time—to boost productivity and gain a competitive edge. However, this gold rush has left a massive security vacuum that legacy tools, designed for human users and predictable software, are failing to fill.

Geordie AI argues that traditional proxy-based security creates bottlenecks and blind spots, forcing a choice between innovation and safety. Beam, its new AI Agent Remediation Suite, promises to eliminate that trade-off by using a novel approach called "context engineering" to secure agents from the inside out.

A New Attack Vector in the Enterprise

The adoption of AI agents is no longer a future-looking trend; it is a present-day reality. Recent studies indicate that over 70% of developers now use coding agents daily, while a Microsoft report suggests more than 80% of Fortune 500 companies are actively deploying agents within their organizations. IDC projects that the number of AI agents could reach 1.3 billion by 2028, potentially outnumbering human knowledge workers.

This explosive growth has security leaders on high alert. According to research firm Gartner, a staggering 74% of CISOs view AI agents as a completely new attack vector. Their concerns are well-founded. These agents operate with a degree of autonomy that creates unprecedented security challenges. They move across different systems, access varied data sources, and carry context between tasks, making their behavior difficult to predict and control.

Traditional endpoint, cloud, and network security tools were not built for this paradigm. They are ill-equipped to handle novel threats like indirect prompt injection, where a malicious instruction hidden in an external document can hijack an agent, or data poisoning, where corrupted training data leads an agent to make harmful decisions. Real-world incidents, such as the discovery of over 1,100 malicious packages in an AI agent ecosystem, underscore the vulnerability of the AI supply chain.

“Our customers want to actively address the security issues in their AI agents so their organizations can innovate quicker,” said Henry Comfort, CEO and Co-Founder of Geordie AI, in a statement. “Geordie helps them do this with a context-driven ‘easy button’ that takes care of risks before they snowball into massive problems.”

Beyond Proxies: The Rise of Context Engineering

Geordie AI's answer to this challenge is Beam, which pioneers what the company calls AI Agent Remediation through context engineering. Instead of building a wall around agents with proxies and gateways—an approach that often adds latency and reduces visibility—Beam works to guide the agent's behavior in real time.

Context engineering is the practice of providing an AI agent with the precise information it needs to make safe and accurate decisions at any given moment. It involves treating the context an agent operates in—its goals, its tools, its data sources, its memory—with the same rigor as software code. Beam’s risk engine continuously maps how an agent is configured and how it behaves, analyzing what it is trying to do, what it has already done, and the environment it is in.

Based on this holistic view, the suite deterministically assesses the appropriate security policies and feeds them back to the agent as contextual guardrails. This creates a continuous feedback loop that proactively shapes and corrects agent behavior as it operates. If an agent attempts an action that exceeds its permissions or aligns with a known risk pattern, the system can intervene and guide it back within policy, all without halting its core function. This adaptive approach stands in stark contrast to static, rule-based systems that are quickly outmaneuvered by the dynamic nature of AI.

Turning Security into a Business Accelerator

The ultimate goal of this new approach is to transform security from a department of "no" into a powerful business enabler. By embedding security directly into the agent's decision-making process, Geordie AI allows organizations to embrace AI-driven automation at full speed, moving beyond isolated pilots to full-scale deployment.

Early adopters are already seeing the benefits. Leo Cunningham, CISO at the AI-driven biotech firm Owkin, praised the startup's methodology. “For us, AI agents are a necessity to our competitive advantage,” Cunningham stated. “We chose to work with Geordie because of its purpose-built approach, which doesn’t risk the business innovation that started our AI agent journey in the first place.”

This sentiment reflects a broader shift in the industry. As AI becomes integral to business strategy, security solutions must prove they can keep pace with innovation rather than stifle it. The ability to safely govern a growing fleet of autonomous agents is rapidly becoming a key differentiator for competitive enterprises.

Market Momentum and Industry Recognition

Geordie AI's launch of Beam is backed by significant market momentum and a string of industry accolades that lend credibility to its ambitious vision. The company, which emerged from stealth in 2025 with $6.5 million in seed funding led by Ten Eleven Ventures and General Catalyst, has seen the number of agents secured by its platform grow tenfold in just five months. Revenue has followed a similar trajectory.

The startup was recently named the winner of the Black Hat Innovation Spotlight competition in London and has been recognized by Gartner as a representative vendor in its Market Guide for Guardian Agents. Crowning these achievements, Geordie AI was named the “Most Innovative Startup” at the RSAC 2026 Innovation Sandbox, a competition known for identifying the next wave of cybersecurity disruptors.

While the AI security landscape is becoming more crowded, with established giants like IBM and Cisco entering the fray alongside other specialized startups, Geordie AI’s dedicated focus on its "from the agent out" philosophy and pioneering work in context engineering sets it apart. As enterprises navigate the complex terrain of AI adoption, the ability to build trust directly into their autonomous systems will be paramount, making platforms like Beam essential infrastructure for the next generation of digital business.