“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.”
Beam: Remediation
Mitigation that happens before the damage
Beam guides agent decisions in real time, keeping activity aligned with enterprise policy without slowing your builders down. Start in monitor mode, enforce when you are confident.
Trusted by forward thinking teams
“My leadership team approved these tools because I could show them with Geordie what the agents were doing. Not what the model was doing. Not what the network was logging. What the agent was actually doing, step by step, on their behalf. That's the view that matters.”
“We've got Geordie deployed across at least 90% of our tech ecosystem now, and the visibility it gives me helps me articulate the return of control, the reduction of risk, and how well we're managing AI adoption.”
“Agentic AI technologies will enable the most significant delegation of data analysis, decision making and execution privileges ever seen. Coupled with the rapid adoption of MCP integrations, agentic AI is already a top risk for many companies. For us, Geordie gives us oversight & visibility - the first layer in any effective cyber defence.”
“We've been rolling out agentic AI across the business for a while now, and the governance question kept coming up: what's actually running, what can it do, and what happens if something goes wrong? Geordie is helping us solve these problems. It's given us real peace of mind, and they're improving their product every week. Geordie should be on every company's shortlist for agentic AI discovery and governance.”
“One of the key challenges for us was how to secure agentic AI in a practical and scalable way. 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.”
“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.”
“My leadership team approved these tools because I could show them with Geordie what the agents were doing. Not what the model was doing. Not what the network was logging. What the agent was actually doing, step by step, on their behalf. That's the view that matters.”
“We've got Geordie deployed across at least 90% of our tech ecosystem now, and the visibility it gives me helps me articulate the return of control, the reduction of risk, and how well we're managing AI adoption.”
“Agentic AI technologies will enable the most significant delegation of data analysis, decision making and execution privileges ever seen. Coupled with the rapid adoption of MCP integrations, agentic AI is already a top risk for many companies. For us, Geordie gives us oversight & visibility - the first layer in any effective cyber defence.”
“We've been rolling out agentic AI across the business for a while now, and the governance question kept coming up: what's actually running, what can it do, and what happens if something goes wrong? Geordie is helping us solve these problems. It's given us real peace of mind, and they're improving their product every week. Geordie should be on every company's shortlist for agentic AI discovery and governance.”
“One of the key challenges for us was how to secure agentic AI in a practical and scalable way. 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.”
“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.”
“My leadership team approved these tools because I could show them with Geordie what the agents were doing. Not what the model was doing. Not what the network was logging. What the agent was actually doing, step by step, on their behalf. That's the view that matters.”
“We've got Geordie deployed across at least 90% of our tech ecosystem now, and the visibility it gives me helps me articulate the return of control, the reduction of risk, and how well we're managing AI adoption.”
“Agentic AI technologies will enable the most significant delegation of data analysis, decision making and execution privileges ever seen. Coupled with the rapid adoption of MCP integrations, agentic AI is already a top risk for many companies. For us, Geordie gives us oversight & visibility - the first layer in any effective cyber defence.”
“We've been rolling out agentic AI across the business for a while now, and the governance question kept coming up: what's actually running, what can it do, and what happens if something goes wrong? Geordie is helping us solve these problems. It's given us real peace of mind, and they're improving their product every week. Geordie should be on every company's shortlist for agentic AI discovery and governance.”
“One of the key challenges for us was how to secure agentic AI in a practical and scalable way. 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.”
Risk detection is half the battle – autonomous intervention and guidance is the next step
A month of findings
- Alerts raised
- 1,000
- Reviewed by the team
- 30
- Analyst time spent
- half a day
- Controls actually applied
- unrecorded
Every finding arrives as work for a human who is already behind.
The same month, with Beam
- Grouped into risk patterns
- 14
- Policies activated
- 9
- Interventions applied inline
- 412
- Left for a human decision
- 3
One spectrum, not a switch
Different risks deserve different responses
A credential leak needs a hard stop. A wasteful workflow benefits from a nudge that improves the agent over time.
The agent has no option
Lifecycle hooks are binding. Prohibited actions and tool use do not execute.
Context-specific redirection
An agent that is not authorized for an action is guided elsewhere, and operations continue.
Additional context, better path
The agent receives recommended pathways, shaping decisions through deterministic rules rather than mechanical constraint.
Human oversight in the loop
Step-by-step mitigations you can hand to the people closest to each deployment, when a gradual approach suits better.
Context-specific by default
The same action, two different answers
Policy that adapts per agent, per department and per use case – not one blanket rule at a boundary.
Finance agent
Proceedsread · customer_financials
Authorized to process financial data. Beam adds no friction and the work completes.
Marketing agent
Steered awayread · customer_financials
Not authorized. The agent is guided to an approved source and the campaign task still finishes.
The difference is context
Control applied where the decision is made
Beam applies context engineering directly within the agent's reasoning process, using hooks and skills to shape behavior at the moment decisions are made. Controls that work this way run continuously – without the latency of external policy checks or the binary outcomes of gateway enforcement.
- Attaches to the agent's own execution path through lifecycle hooks
- Reads configuration, context and memory rather than inferring intent from traffic
- No reroute, no chokepoint, no single point of failure to bottleneck at enterprise volumes
Where enforcement happens
Gateway model
Interception is enforcement. One point carries every agent.
Beam's agent-native model
Beam attaches to the agent's own execution path through lifecycle hooks, reading config, context, and behavioral patterns directly rather than inspecting traffic from outside.
The context engine
Beam doesn't choose between depth and speed
The deep analysis happens continuously, out of band. The inline response is fast because the context is already there.
Offline
out of band · no latencyContinuous analysis drawing on the full depth of an agent's history.
- Behavioral baselining
- Risk pattern identification
- Policy refinement
Online
inline · real timeDetection and response applied in the moment, using the context the offline work already built.
- Context injected into the agent's reasoning
- Prohibited action stopped at the hook
- Recommended pathway offered
Beam · the AI agent remediation suite
Beam doesn't just flag it. It resolves it.
Context engineering applied inside the agent's reasoning process, using hooks and skills to shape behavior at the moment decisions are made.
- 30 minutes, run by an engineer
- Read-only access, revoked whenever you like
- A findings summary you can forward internally
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