AI Agent Security Platform

Say Yes to AI Agents Without Handing Over the Keys

Know where every agent is, what it can reach, and what permissions it holds, with a kill switch for any agent that shouldn't be there.

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The Problem

Nobody Can Say Which Agents Are Running or What They Can Reach

Your teams create agents faster than anyone can track them, and that agent sprawl grows every week.

Without Agent Governance

Agents get built in copilots, internal agent platforms, and custom code without sign-off, and they keep their access to critical data after the employee who built them leaves.
Nobody can say which data sources an agent connects to or which roles it inherited.
Every new agent spins up its own credentials, with no record of what came from where.
Nobody can say what an agent did until something breaks and someone digs for it after the fact.
When an agent turns risky, it keeps running while a ticket works its way through every vendor console.
Result: Every new agent widens your attack surface, and security finds out last.

Agent Governance With CloudEagle.ai

Every agent sits in one inventory with a clear owner, and we flag the ones left behind by former employees.
You see every data source each agent can reach and every role it holds.
Each agent's credentials and status sit beside it, and we flag the inactive or over-permissioned ones.
We log what each agent did, what it changed, and what it touched.
One kill switch shuts a risky agent down from the same view.
Result: One kill switch shuts a risky agent down from the same view.
What Security Teams Find

 Security Leaders Who Took Control of AI and Access

"As our identity environment expanded, governing non-human identities became just as important as managing human access. CloudEagle.ai gave us visibility into service accounts, API tokens, and AI agents, helping increase NHI visibility, remediate unmanaged identities, and reduce overprivileges, helping us govern NHI, the same way we did for people."
Karthik Swarnam
Karthik Swarnam
Chief Security and Trust Officer
"Once AI adoption accelerated across teams, visibility alone wasn’t enough. We needed clear rules around who could use AI tools, under what conditions, and how those decisions were enforced and reviewed. CloudEagle.ai helped us move from ad-hoc approvals to structured, defensible AI governance."
Aditya Khosla
Aditya Khosla
CTO
“As our environment scaled, reviewing privileged access across applications became increasingly difficult and risky. CloudEagle helped us bring structure and focus to privileged access reviews, so our teams could concentrate on high-risk access with confidence.”
Barnaby Go
Barnaby Go
IT Manager

Frequently Asked Questions

Can't find the answer you're looking for? Contact us, and our team will be happy to help.
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1. What does an AI agent security platform like CloudEagle.ai do?

An AI agent security platform like CloudEagle.ai tells you where your AI agents are, what each one can access, and what permissions it holds, and gives you a kill switch to shut any agent down. CloudEagle.ai also logs what each agent did and every action your team takes.

2. How does CloudEagle.ai find shadow AI agents?

AI agents run under machine identities. CloudEagle.ai reads those identities from your identity provider, like Microsoft Entra ID or Okta, and from your connected apps, so agents show up whether or not anyone registered them with IT.

3. How do I check what my AI agents can access and which permissions they hold?

Every agent is set up with an identity that holds roles, scopes, and app assignments. CloudEagle.ai reads those from your identity provider and app admin APIs and shows every role an agent holds, down to the resource, including access it hasn't used yet. It flags agents that are inactive, have no owner, or hold more access than their job needs.

4. What happens to an AI agent when the employee who built it leaves?

It keeps running with the access it had. CloudEagle.ai flags agents whose owner has left, so you can assign a new owner or shut the agent down before its access to critical data becomes a way in.

5. What is an AI agent kill switch?

It's one place to shut an agent down. In CloudEagle.ai, you can revoke any role an agent holds, down to a single resource, rotate its secret where the platform supports it, or deactivate its identity. Nothing happens automatically. Your admins decide, and CloudEagle.ai logs every action.

6. Can CloudEagle.ai show what an AI agent actually did?

Yes. Pull up the activity log for any agent to see what it did, what it changed, and which resources it touched. CloudEagle.ai also logs every admin action, from revoking a role to rotating a secret.

7. Does CloudEagle.ai slow down or interfere with my agents?

No. CloudEagle.ai reads identity, permission, and activity data. Your agents keep running exactly as they do today until an admin decides to act.

8. Why use CloudEagle.ai instead of the native tools Microsoft and other platforms provide?

Each platform's console shows only the agents built on that platform, and your teams build agents in more than one place. CloudEagle.ai gives you one inventory across Microsoft Entra ID, Okta, and your connected apps. For each agent, you see its owner, credentials, roles, permissions, and activity, with one way to shut it down.

9. How is an AI agent management platform different from non-human identity management?

Non-human identity management covers the credentials behind your integrations and automations, like service accounts, API tokens, and service principals. AI agent management focuses on the agents themselves: where they were built, what data they can reach, and who owns them. CloudEagle.ai covers both on the same identity data, so each agent stays tied to its credentials.

10. What is an AI agent identity?

It's the account an agent uses to connect to apps and data, such as a service principal in Microsoft Entra ID. That identity holds the permissions that decide what the agent can reach, which is why an AI agents security platform like CloudEagle.ai governs the identity to control the agent.

Take Control of Every AI Agent in Your Stack