AI agents do not behave like traditional software. Securing them means moving beyond access and protocols to enable and control autonomous systems in real time.
AI agents are like digital employees, with roles, access, data, and the ability to make decisions in pursuit of goals in real time. The minimum viable definition of an agent is a large language model equipped with at least one tool. The tool can be anything from an API to an MCP to a SaaS connector.
Agents are different in both focus and scale to how human employees operate
Agents can chain tools, make instant decisions, and have the capability to impact operations at a speed and call orders-of-magnitude beyond any employee or team.
Agents function differently than traditional software
Agents are unpredictable, and their decisions do not follow a specific logic chain, meaning the requirements for controls, behavioral observability, and contextual governance are critical.
Agents are non‑deterministic
Even if you test agents pre-deployment, the risks and behaviors won't remain the same. Know which agents are in use, by which teams, and for what work, so you can guide adoption and governance.
Geordie gathers data directly from where your agents operate: across code, cloud, and endpoint, and across the architectures and tool connections in your environment. That coverage gives your team a continuous view of agent behavior and risk that static policies and access controls can't provide.
A complete and continuously updated picture of your agent environment
Most organizations don't have an accurate view of which agents are running, what they're connected to, or how their configurations change over time. Geordie automatically discovers every agent across your cloud, code, and endpoint environments and maintains a continuously updated map of their full configuration.
Understanding what your agents actually do, not just what they're permitted to do
Permissions define what an agent can do. Behavior tells you what it does. Geordie maintains an auditable record of every decision, tool call, and data access across your agent fleet. Behavioral baselining and anomaly detection identify when something falls outside expected bounds.
Risk intelligence that reflects how agents actually create risk
Agent risk emerges from sequences of actions, context, and downstream consequences, not individual transactions. Geordie analyzes activity and configuration using proprietary risk and threat modeling, with findings mapped to relevant standards.
Controls that work at the speed of your agents
Agents deliver value by operating continuously and autonomously. Geordie evaluates each decision in context, applying controls directly at the agent level so operations continue uninterrupted.
Endpoint and network security
Endpoint and network security was built around human-initiated activity. When agents operate machine-to-machine, that traffic can bypass traditional choke points entirely, or arrive without the context needed to evaluate it. You can see that something happened, not what it means.
What you can do with agents you trust
When your agents are understood, approved with evidence, and operating under controls that work at their level, your organization can deploy faster, expand further, and build on what's working. That's what Geordie makes possible.
“We're seeing the iceberg that rocked the Titanic — weeks in advance rather than the moment it appears on screen. We're able to take a snapshot of the entire ecosystem and have adult, grown-up conversations about what's responsible and what's not. We can quantify everything now.”
