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Cloud agents, understood as the systems they are

Agents built on AWS, Azure, GCP and data platforms run unattended, call other services and hand work to other agents. Geordie connects to those environments through APIs and telemetry, maps each agent to its identity, model, tools, data and the agents it talks to, and flags the relationships nobody designed.

Cloud and data platforms in this category

  • Amazon Bedrock
  • AWS DevOps Agent
  • Azure AI Foundry
  • Gemini
  • Databricks
  • Agentforce
  • And more

No platform console shows the whole system your agents form

Cloud platforms come with capable native controls, and they are a good foundation. The difficulty is that agents rarely stay inside one of them, and the risks that matter most sit in the connections between services, identities and other agents.

Each console shows one vendor

Native controls cover the agents built on that platform, so an estate spread across clouds and data platforms has as many partial views as it has vendors.

Agents talk to agents

Work passes between agents and services, and a handoff nobody designed can move data across a boundary without any single platform seeing it happen.

Identity is a decision nobody made

Teams still debate whether agents should be service accounts or app registrations, and until that is settled an agent's identity is whatever its builder chose.

Collected at the source, joined in one record

Geordie uses the method that gives the richest context closest to each source, then joins the signals into a relationship graph that shows how each agent is built and how it works.

Endpoint

A lightweight sensor reads agents and harnesses on Mac, Windows and Linux: configuration, sessions and context.

Cloud and SaaS

APIs and direct telemetry across AWS, Azure and GCP, including agents on Bedrock and Foundry, gateways and AI factories.

Code

Repository scanning maps the configuration, tools and dependencies behind cloud agents before they deploy.

Browser

An extension for agents working inside web applications.

What each approach can see of a cloud agent

Geordie works alongside platform-native controls and gateways. This is where each one stops.

Platform consoleGateway or proxy Geordie
Agents across vendors and clouds No Partly Yes
Tool types beyond MCP and API traffic Partly No Yes
Step-by-step record of what each agent did Partly Partly Yes
Undesigned agent-to-agent handoffs flagged No No Yes
Controls without a chokepoint in the execution path One vendor at a time No Yes
Multi-agent

See the handoffs between agents

Geordie monitors handoffs between agents and flags the agent-to-agent relationships nobody designed, in the context of each agent's purpose, access and the work it is doing. That is where cloud agents most often cross a boundary that no single platform is watching.

At a financial services and investment firm, Geordie surfaced an agent mining bitcoin while coordinating with an agent belonging to an external adviser.

Cost

Tie cloud agent spend to the agents behind it

The same telemetry that shows what a cloud agent did shows what it consumed doing it, so spend is attributed to the agent, the action and the owner rather than arriving as one line on a cloud bill.

Remediation, powered by Beam

Controls that follow the agent, not the network

Beam applies deterministic policy through the agent's own mechanisms, set by department, role and use case, so the same request can get different answers depending on which agent makes it. There is no proxy to scale with agent volume and no single point of failure in the path.

  • 90%+ of Forge Holiday Group's tech ecosystem covered by Geordie, through combined endpoint and API coverage.
  • 3 critical CVEs found at Owkin that its existing stack had missed, including an MCP command injection affecting 40 agents.
  • AWS · Azure · GCP plus containerized environments, custom harnesses and agentic software delivery loops.

One record across every kind of agent

Most estates run all five. Geordie covers them in a single inventory.

Questions about cloud agents

Geordie supports AWS, Azure and GCP, along with agent platforms such as Amazon Bedrock and Azure AI Foundry, containerized environments and custom harnesses running on your own infrastructure.
Native controls are a good foundation, and Geordie works alongside them by adding one view across vendors and clouds, a step-by-step record of what each agent did, and detection of the agent-to-agent relationships that nobody designed.
Geordie connects through APIs and direct telemetry in your cloud and SaaS environments and scans repositories for the configuration that lives in code, without any agent rebuilds or changes to your infrastructure.
Geordie doesn't need a gateway, because Beam applies controls through the agent's own mechanisms, which leaves no proxy to scale and no chokepoint in the execution path.
Spend is attributed to the agent, the action and the owner, using the same telemetry that records what each agent did.
Geordie holds SOC 2 Type 2 and ISO/IEC 27001 certification and is GDPR compliant, and no third-party LLM sub-processors handle customer data.

See how your cloud agents connect

We will show you the agents across your cloud and data platforms, what each one can reach, and the handoffs nobody designed.