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.
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.
And dozens more
Risk detection is half the battle – autonomous intervention and guidance is the next step
The same month, with Beam
- Grouped into risk patterns
- 14
- Policies activated
- 9
- Interventions applied inline
- 412
- Left for a human decision
- 3
Contextual risk remediation that escalates with risk
Geordie’s inline remediation engine, Beam, shapes agent behavior in real time through context engineering, deployed via agent-native and harness-native mechanisms including lifecycle hooks, plugins, and MCP. Responses are context-specific and escalate with risk.
Recorded, and nothing else
Beam watches the action and writes it to the immutable record without touching it. The agent proceeds exactly as it would have, and the team gets the evidence it needs to decide whether anything stronger is warranted.
Context and a better path, before it acts
Beam writes additional context into the agent’s reasoning and offers an approved pathway. Nothing is blocked; an agent heading somewhere it is not authorized for is guided to an equivalent it is, and the work continues.
Paused until its operator decides
A new mode for the Claude ecosystem. The agent stops and waits for an explicit decision to continue or not. Beam delivers the context behind the pause to the agent, so whichever way the operator decides, the agent carries that context into what it does next.
The agent has no option
Lifecycle hooks are binding. Prohibited actions and tool use do not execute, and the attempt is written to the immutable record.
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
Guidedread · customer_financials
Not authorized. The agent is guided to an approved source and the campaign task still finishes.
Control applied where the decision is made
Beam applies context engineering directly within the agent's reasoning process, deployed via lifecycle hooks, plugins, and MCP 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, plugins, and MCP
- Reads configuration, context and memory rather than inferring intent from traffic
- No proxy and 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, plugins, and MCP, reading config, context, and behavioral patterns directly rather than inspecting traffic from outside.
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.
- Action written to the immutable record
- Context and an approved pathway written into the agent's reasoning
- Paused until its operator decides
- Prohibited action stopped at the hook
“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.”
Leo Cunningham
CISO @ Owkin
“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.”
Senior Security Engineer
Leading global private equity firm
“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.”
Jon Mattey
CISO @ Forge Holidays
“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.”
Matt Bryant
CIO & CISO @ 118 118 Money
“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.”
Michael Cena
Head of Cybersecurity @ A+E Global Media
“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.”
Sushil Dora
Associate Director of Cybersecurity @ OakNorth
“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.”
Leo Cunningham
CISO @ Owkin
“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.”
Senior Security Engineer
Leading global private equity firm
“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.”
Jon Mattey
CISO @ Forge Holidays
“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.”
Matt Bryant
CIO & CISO @ 118 118 Money
“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.”
Michael Cena
Head of Cybersecurity @ A+E Global Media
“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.”
Sushil Dora
Associate Director of Cybersecurity @ OakNorth
“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.”
Leo Cunningham
CISO @ Owkin
“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.”
Senior Security Engineer
Leading global private equity firm
“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.”
Jon Mattey
CISO @ Forge Holidays
“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.”
Matt Bryant
CIO & CISO @ 118 118 Money
“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.”
Michael Cena
Head of Cybersecurity @ A+E Global Media
“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.”
Sushil Dora
Associate Director of Cybersecurity @ OakNorth
“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.”
Michael Cena
Head of Cybersecurity @ A+E Global Media
Control what must always hold. Shape what can improve.
Context engineering applied inside the agent's reasoning process, deployed via lifecycle hooks, plugins, and MCP to shape behavior at the moment decisions are made.
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Related resources
Blog Remediation
Beam: Guiding agents as they work, with tiered escalation
How do I reduce agent risk without stopping the work?
Blog Observability & Detection
OWASP’s Q3 exploit roundup shows where an agent's limits are actually enforced
OWASP’s Q3 exploit roundup says prompt-level instructions alone do not establish a secure boundary.
Blog Governance & Compliance
Agent behavior comes from more than the model
Model capability is one input to what an agent does.
Beam shapes behavior through the agent's own context and configuration rather than inserting a gateway into the execution path, so an authorized action proceeds and an unauthorized one is guided to an approved pathway or, where the risk calls for it, does not execute. A hedge fund customer told us downtime from failed controls could cost more than a security incident; a large US financial data company now runs Beam inline across tens to hundreds of thousands of agents each day without disruption.
Consistency at scale. When you apply governance across an entire organization, enforcement has to behave the same way every time, and LLM-generated policies can change because the policy engine itself is non-deterministic – a policy that worked yesterday might not behave identically today. AI is used for analysis, behavioral understanding and anomaly detection instead.
No – Beam works collaboratively with them. Managed configurations and gateways cover one vendor or one tool type at a time, while agents adopt tools in ways that go beyond MCP. Beam adds the cross-platform, cross-tool-type controls that no single platform provides on its own, across skills, extensions, plugins, packages and SaaS connectors.
No. Beam runs sidecar with the agent's own infrastructure, and deployment requires no agent rebuilds and no reconfiguration of existing infrastructure – agents keep the configuration they already have. It's designed to integrate rather than displace, including alongside platform-native settings like managed configurations and Copilot policies.
Yes – that's what the control spectrum exists for. Responses are context-specific and escalate with risk. Monitor records an action without touching it, and Guide writes additional context into the agent’s reasoning and offers an approved pathway, so nothing is blocked. Confirm pauses the agent until its operator decides, and at Enforce lifecycle hooks are binding and the agent has no option.
The immutable audit log can feed downstream into your SIEM, and risk intelligence integrates with the security workflows you already run. Because the record is tamper-proof even where the native agent platform allows session replays or log deletion, a control action stands up as evidence in compliance reporting and incident response.
Beam is Geordie's inline remediation engine and sits inside the platform rather than deploying separately. It's the context engine that turns agent understanding into deterministic action, which is also why it's hard to copy: inline remediation depends on already having deep agent understanding before acting. Gartner described Beam as "unique in the market."