A flag without context
Unusual tool call detected
- No owner, so it lands in a queue
- No baseline, so nobody knows if it is unusual
- No cause, so there is nothing to fix
Behavioral Understanding & Risk Intelligence
See what your agents are
doing and the risk it creates
Geordie observes an agent's context, its configuration and every tool call it makes – not just what crosses a gateway. That is what turns a signal into something worth acting on.
And dozens more
Inside the agent's full execution loop
By the time a request crosses a boundary, the decision has already been made. Geordie is present for the decision.
-
Context
What the agent was told and remembers
-
Configuration
Instructions, skills and permissions in force
-
Plan
The steps it intends to take
-
Tool call
The action, with its arguments
-
Response
What came back and what it changed
- A gateway sees
- tool call · response
- Geordie sees
- the whole loop, in order, with the reasoning attached
A single, organized view of risk
Geordie classifies each agent's risk from what it is configured to do and what it has been observed doing, incorporating external vulnerability intelligence to give you an accurate view of both operational and compliance risk.
Findings are automatically mapped to international security and AI standards such as OWASP, NIST, ISO 42001, the EU AI Act, and AIUC-1, so you always know where your agentic operations stand against the policies and regulatory expectations you are accountable to.
- Total
- 142
- Scenarios
- Critical
- 9
- Scenarios
- High
- 27
- Scenarios
- Medium
- 51
- Scenarios
- Low
- 55
- Scenarios
- 8 scenarios
Access & Privileges
Agents accessing systems or permissions beyond what's needed. Protects from privilege escalation, unauthorized access, and compliance violations.
- 4 scenarios
Code Execution
Agents running unprotected or unscoped code. Protects from malware, backdoors, and agents being used to run attacker scripts.
- 9 scenarios
Configuration
Unsafe agent configurations and exposed services. Protects from shadow IT, bypassed security controls, and persistent attack surfaces.
- 5 scenarios
Dangerous Operations
Destructive commands and irreversible actions. Protects from data loss, service outages, and offensive operations.
- 29 scenarios
Data Protection
Agents processing sensitive data or surfacing information. Protects from regulatory penalties, IP theft, and data breaches.
- 7 scenarios
Financial Risk
Agents with transaction or spending authority. Protects from unauthorized transactions, fraud, and uncontrolled spending.
Native agent logs are not an audit trail
Sessions can be rewritten or deleted, and the log lives inside the system it is meant to hold to account. Security teams need a record that survives the thing it describes.
| Requirement | Native session logs | Geordie |
|---|---|---|
| Cannot be altered after the fact | Sessions can be edited or cleared | Immutable once written |
| Held outside the agent | Stored by the harness it records | Independent of the agent and its user |
| Complete across the estate | One format per platform, stitched by hand | One schema across every harness |
| Covers reasoning, not just calls | Varies; often output only | Prompt, plan, response and invocation |
| Ready for an examiner | Retention at the vendor's discretion | Exportable to your SIEM and your auditors |
See what an agent did, in order
Tool calls, data reaches and escalations as they happen, with full history. When a review starts with "what actually happened", the answer is one page away.
- Behavior baselines per agent, with drift flagged
- Prompt source and identity on every action
- Alerts into Slack, Teams or your SIEM
claims-triage · session 8f2c
19 events- 14:02:11 Prompt Review claim 44921 and settle if within tolerance
- 14:02:12 Plan Read claim · check policy limits · adjust payment · note the file
- 14:02:14 Tool · claims.read In baseline · 6,200 prior invocations
- 14:02:16 Tool · payments.adjust First occurrence for this agent · plan step cited an unreviewed skill
- 14:02:19 Response Settled at £4,120 · case note written
Normal has to be learned before abnormal means anything
Geordie builds each agent's own behavioral baseline, then measures every session against it.
Tool use, last 14 sessions
Fourteen sessions of settled behavior Session 14 · 2.4× baseline
-
Per agent, not per fleet
A research agent's normal is not a payments agent's normal.
-
Behavioral, not signature-based
New attack patterns do not need a known signature to look wrong.
-
Continuous, not scheduled
The baseline moves as legitimate behavior evolves.
Behavioral understanding is what makes a signal worth acting on
Geordie finds agent risk and gives teams enough to close the loop.
A finding you can act on
claims-triage invoked payments.adjust for the first time
- Named owner, so it goes to a person not a backlog
- Baseline attached, so severity is arguable with evidence
- Cause identified, so the fix is specific – withdraw the skill or bind the tool
Remediation is where this leads – Beam applies the control inside the same execution loop the finding came from, with responses that escalate with risk, from Monitor to Enforce.
Explore BeamWhat behavioral understanding catches
A skill that looks legitimate and is not
The agent's plan starts citing an instruction nobody reviewed, and its tool use widens the same day.
Drift from the configured brief
An agent scoped to read starts writing, one step at a time, over several weeks.
Sensitive data on an unexpected path
Customer records read by an agent whose brief never mentioned them, then summarized outward.
A loop that never resolves
The same plan step repeating for hours, consuming tokens and producing nothing.
Sub-agents nobody accounted for
One workflow fanning out into a dozen delegated agents, each with its own reach.
Prompt injection that succeeded
Instructions arriving from content the agent read, then showing up in its plan.
The visibility Geordie gives me helps me articulate the return of control, the reduction of risk, and how well we're managing AI adoption.
“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
See what your agents are actually doing
Connect one platform and we will show you a real session end to end – prompt, plan, tool calls, response – with the baseline it sits against.
- 30 minutes, run by an engineer
- Read-only access, revoked whenever you like
- A findings summary you can forward internally
See how we handle your data in our Trust Center (opens in a new tab)
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Related resources
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.
Field Notes Observability & Detection
A supply-chain incident made an AI coding blind spot visible
Their EDR had no record of the activity.
Both, merged into one classification. Geordie combines what an agent is configured to do with what it is observed doing, which produces a dynamic risk picture rather than a static configuration snapshot. Classification goes deep – to the individual tool, user, credential and permission – and wide, across shadow areas, unsanctioned agents and tool types gateways never see.
No. The immutable log is a tamper-proof record held by Geordie, and it supports compliance reporting, incident response and forensic investigation without the cost of pushing full agent telemetry into a SIEM. It can still feed downstream into your SIEM and out to your auditors when you want it there.
Models are used for analysis: behavioral understanding, risk scoring, anomaly detection and policy recommendation – the places they're best placed. Policy creation and enforcement are deterministic, with no LLM-as-judge and no LLM-generated policies, because enterprises governing autonomous systems need enforcement that behaves identically every time. Probability is reserved for understanding risk, never for deciding what happens next.
Agent operations are continuously aligned against both your internal AI policies and external regulatory frameworks, including the NIST AI RMF and the EU AI Act. Because that mapping runs against the behavioral record continuously rather than on a review cycle, audit readiness is always-on instead of reconstructed manually ahead of each assessment.
An endpoint sensor sees interaction events on a device, but not the agent's own configuration or its behavior over time, and that ceiling doesn't extend to cloud-hosted, code-level or multi-agent environments. Network-only tools see traffic but not the agent. Agents are systems spanning surfaces, and each of those approaches covers one.
Yes. Risk thresholds and controls are configurable by department, role and use case, so the same agent platform can carry a different risk profile and different controls in engineering than in marketing. That matches an organization's real risk tolerance rather than applying one blanket policy to a vendor.