Agents at scale,
under your control

Geordie finds every agent across cloud, code, endpoint and browser, records what each one does in a trail that cannot be rewritten, and applies controls alongside the agent itself, so you can evidence your agent estate to an auditor without putting a chokepoint in the execution path.

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Trusted by banks, lenders and financial data businesses

Your auditors will ask about agents the way they ask about everything else

You already run one of the most closely evidenced environments in any industry. Agents arrived inside it faster than the evidence did, and the questions about them come with the same audit dates, volumes and uptime expectations as everything else you answer for.

Audit cycles

The regulator sets the calendar

ISO/IEC 42001, the EU AI Act and your own AI policy all come with dates attached, and a point-in-time survey of agents is out of date before the review it was built for.

Scale

The volumes are already here

You are likely running agents at enterprise volume already, which is where the limits of gateway and proxy architectures stop being a design debate and start showing up in operations.

Continuity

Downtime can cost more than the incident

A hedge fund customer told us that downtime from a failed control could cost more than the security incident it was meant to prevent, which rules out any control that can fail closed in the path of the work.

One record of every agent, ready when the auditor asks

Geordie gathers configuration and telemetry where agents actually run and connects each one to its owner, identity, tools, data and permissions. Every action lands in an immutable record, so the evidence a regulator asks for already exists by the time they ask for it.

What Geordie records for every agent action

The whole loop, in order, with the reasoning attached

01 Context What the agent was told, and what it remembers
02 Configuration Instructions, skills and permissions in force
03 Plan The steps it intends to take
04 Tool call The action, its arguments and the credentials used
05 Response What came back, and what it changed

Find every agent

Vendor-agnostic discovery across 45+ agent platforms, including the agents nobody registered and the ones built outside sanctioned tooling.

Assess the tool supply chain

Every MCP server, skill, extension, plugin and package behind each agent, including the connections defined in configuration that never cross a gateway.

At a British bank, Geordie found tool connections beyond what employee surveys and MCP gateways had captured.

Evidence what happened

A tamper-proof history of each agent session that does not depend on the agent platform's own log retention, and feeds your SIEM when you want it there.

Attribute agent spend

Token spend tied to the agent, action and owner behind it, so Finance joins the conversation with numbers it already knows how to read.

Remediation, powered by Beam

Controls that hold without stopping the business

Beam acts through the agent's own configuration and context rather than an external gateway, so there is no single point of failure that can halt a trading day. Policies are deterministic and set per department, role, use case and country, which means the same tool call can get two different answers.

Monitor Observe and record, with cost and risk in view
Guide Add context that adjusts how the agent proceeds
Confirm Pause for an operator's decision before it acts
Enforce Always-on policy where a boundary must hold

Mapped to the frameworks your auditors already use

Findings map to six frameworks out of the box, and the risk library already models the scenarios financial services regulators care about, so audit readiness becomes a continuous state rather than a quarterly project.

ISO/IEC 42001

AI management controls mapped to observed behavior
EU AI Act

Obligations traced against what agents actually did
NIST AI RMF

Coverage across map, measure and manage
OWASP Agentic Security Initiative

Agent-specific threat coverage
OWASP LLM Top 10

Model risks in the context of the agent's work
MITRE ATLAS

Adversarial technique mapping for AI systems

Financial services scenarios: Financial transaction detectionPersonal data exposure (GDPR, CCPA)Unauthorized financial activityExternal access to transaction toolsCustom scenarios, any framework

Built to pass your vendor review

SOC 2 Type 2 ISO 27001 GDPR

No third-party LLM sub-processors handle customer data
Deploys through MDM in about 10 minutes, at user-level permissions
No agent rebuilds and no changes to existing infrastructure

What financial services security leaders tell us

“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.”

Sushil Dora Associate Director, OakNorth

“Geordie's risk-oriented approach demonstrates a pragmatism not present in many security tools. As cyber practitioners, we're ultimately focussed on identifying and treating risk, no trawling through logs!”

Matt Bryant CIO and CISO, 118 118 Money

“Other firms in our space are not enabling AI because they can't see it, which means their developers aren't using it and their go-to-market on new AI capabilities is months behind. Geordie changed that calculation for us. Our approval timeline went from months to weeks.”

Senior Security Engineer Global private equity firm

Questions from financial services teams

You don't, because Geordie keeps its own immutable record of agent activity and doesn't depend on each agent platform's log retention or on you paying to ingest everything into the SIEM. When you want agent activity alongside the rest of your security data, you can export the audit log there as well.

Geordie runs alongside your gateways rather than in place of them. A gateway sees the traffic that passes through it, whereas Geordie also covers the skills, extensions, plugins and packages that live in an agent's own configuration, and it adds behavioral context and controls that act through the agent itself.

Beam doesn't sit in the execution path as a proxy, so there is no chokepoint that could fail open or closed and take a process down with it. Its responses run from monitoring through guidance and confirmation to enforcement, which means the work carries on while the risk is being managed.

Findings map today to ISO/IEC 42001, the EU AI Act, NIST AI RMF, the OWASP Agentic Security Initiative, the OWASP LLM Top 10 and MITRE ATLAS, and you can map custom risk scenarios to any internal or external framework your auditors work from.

Policies can be set by department, role, use case and country, so an agent on a trading desk that is authorized to process financial data can carry on doing so while an agent elsewhere in the business is steered away from the same data.

Geordie collects from wherever your agents operate, using a lightweight endpoint sensor on Mac, Windows and Linux, APIs and telemetry across AWS, Azure, GCP and SaaS platforms, direct scanning of code repositories, and a browser extension for agents that work inside web apps.

See what your agents are doing before your auditors ask

We will show you every agent already running across your estate, what each one can reach, and how it maps to the frameworks you report against.

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Agents at scale, under your control