AGENT IDENTITY & PERMISSIONS

Know what every agent can access and do

AI agents act through identities, credentials, and permissions. Eyrane helps security teams understand which identity an agent uses, what access it inherits, and the potential impact of every action.

THE DEFINITION

What is AI agent identity?

AI agent identity is the digital identity an AI agent uses to authenticate to applications, APIs, tools, and data. It may be a service account, workload identity, API credential, OAuth token, or delegated user identity. Securing agent identity requires understanding both the identity itself and the effective permissions it gives the agent.

  • Identify which credentials agents use
  • Map inherited permissions
  • Enforce least privilege
  • Detect excessive access
  • Understand effective permissions
  • Reduce agent blast radius
  • Investigate actions back to an identity

THE SECURITY BOUNDARY

Agents inherit the power of their identities

A model may be harmless on its own. But an agent authenticated as a privileged identity may query sensitive data, change production systems, trigger workflows, send messages, or call privileged APIs.

The real security boundary is often not the model. It is the identity behind the agent.
Agent+Identity+Permissions+Tools+Actions

IDENTITY TYPES

How AI agents authenticate

Agent identities can differ in scope, lifetime, ownership, auditability, inherited permissions, and revocation model.

SERVICE ACCOUNTA dedicated account used by an agent or service.
WORKLOAD IDENTITYAn identity assigned dynamically to a workload or runtime.
API KEYA static credential used to authenticate to a service.
OAUTH TOKENDelegated or application-level access to another system.
USER-DELEGATED IDENTITYThe agent acts with permissions inherited from a user.
CLOUD ROLEThe agent assumes a cloud IAM role.
SECRET / TOKENA credential stored in configuration or a secrets system.

EFFECTIVE PERMISSIONS

What can the agent actually do?

Configured permissions show what an identity appears to have. Effective permissions show what the agent can reach when roles, groups, delegated permissions, tools, and downstream access paths are considered together.

REVENUE OPERATIONS AGENT
Identity svc-revopsAccess path mapped
Direct permissionsCRM read · CRM write
Through connected toolWarehouse query
Through delegated integrationMessaging post
Effective accessCustomer records · pipeline data · revenue analytics · internal channels

PERMISSION GRAPH

Identity relationships can compound

The access path may run through a role, a group, a tool, or an MCP server before reaching an application and its data.

LEAST PRIVILEGE

Give agents only the access they need

Security teams should ask whether an agent needs write access, production credentials, every customer record, or the ability to invoke a sensitive tool without approval.

BEFORECustomer Support Agent

Read tickets

Modify tickets

Export customers

Issue refunds

Query warehouse

Post externally

AFTER LEAST PRIVILEGECustomer Support Agent

Read tickets

Modify assigned tickets

Sensitive actions · require approval

EXCESSIVE ACCESS

Find access that exceeds the agent’s job

Overprivileged agents can result from reused service accounts, broad OAuth scopes, inherited user permissions, stale credentials, default cloud roles, overly permissive tools, shared secrets, or permission accumulation over time.

An agent should not inherit more authority than its task requires.

Explore Overprivileged Agents

ACCESS × AUTONOMY

Permissions and autonomy are different risks

Permission is what the agent is technically allowed to do. Autonomy is what it can decide and execute without human review.

ACCESS ↓   AUTONOMY →
LOW ACCESSLower risk
HIGH AUTONOMYModerate risk
HIGH ACCESSElevated risk
HIGH ACCESS + HIGH AUTONOMYHighest risk

BLAST RADIUS

Understand the blast radius before an agent acts

Blast radius is the systems, data, users, or workflows that could be affected if an agent, credential, or tool is compromised or behaves unexpectedly.

Customer dataProduction databaseCRM recordsExternal messagingPrivileged toolsDownstream automation

CREDENTIAL LIFECYCLE

Track the credentials behind agent actions

Understanding a credential means tracking its source, owner, scope, expiry, rotation, environment, usage, and revocation path.

01Credential source
02Owner
03Scope
04Expiry + rotation
05Environment
06Usage + revocation

NON-HUMAN IDENTITIES

Agents are part of the non-human identity problem

Non-human identities include service accounts, workload identities, API keys, tokens, automation identities, and other credentials used by machines rather than people.

AI agents add a new dimension because they do not merely authenticate. They make decisions and take actions through those identities.

Identity + autonomy is central to Eyrane’s security model.

USER-DELEGATED ACCESS

Know when an agent is acting as a user

Delegated access can make attribution difficult when an agent inherits broad user permissions or acts outside the user’s expected context.

Who initiated it?Which identity executed it?What permission enabled it?Was the action expected?
USER Alicedelegated tokenAGENT Finance AgentactionCRM Export account list

MCP + IDENTITY

Understand the identity behind every tool call

An MCP server may connect an agent to a tool that authenticates to a downstream service. The agent may not directly hold the credential, but it can still exercise the permission.

Agent↓MCP server↓Tool↓Credential↓Database
Explore MCP Security

IDENTITY → RUNTIME CONTROL

Turn identity context into runtime policy

Action context brings identity, permissions, and environment into the decision before sensitive operations happen.

Operations Agent · svc-ops-agentDelete production recordREVIEW
Operations Agent · approved contextRead operational dataALLOW
Unknown agent · restricted datasetExport sensitive dataBLOCK

INVESTIGATION + ATTRIBUTION

Trace agent actions back to identity

Security teams should be able to ask which agent performed an action, which identity authenticated it, which token or role authorized it, which tool executed it, and what resource changed.

AgentIdentityToken / roleToolResourceOwner

COMMON QUESTIONS

Questions security teams ask about agent identity

What is AI agent identity?

AI agent identity is the digital identity an AI agent uses to authenticate to applications, APIs, tools, and data. It may be a service account, workload identity, API credential, OAuth token, or delegated user identity.

What identities do AI agents use?

AI agents may use service accounts, workload identities, API keys, OAuth tokens, cloud roles, user-delegated credentials, application tokens, secrets, or MCP-provided credentials.

What is a non-human identity?

A non-human identity is a machine-operated account, token, key, role, or credential used by software rather than a person. AI agents add decision-making and autonomy to this identity problem.

Why do AI agents need least privilege?

AI agents need least privilege so the identity behind an automated workflow has only the access required for its task, reducing the systems and data it could affect.

What are effective permissions for an AI agent?

Effective permissions are what an agent can actually reach after direct roles, groups, delegated access, tools, and downstream connections are considered together.

What is an overprivileged AI agent?

An overprivileged AI agent can access more applications, data, or tools than its workflow requires. See Eyrane’s overview of overprivileged agents for more context.

How is agent identity different from human identity?

Agent identity describes the credentials and access path software uses, while agent security must also account for the decisions and actions taken through that identity.

How do MCP servers affect agent permissions?

MCP servers can expose tools that authenticate to downstream services, so an agent may exercise permissions it does not directly hold.

What is agent blast radius?

Agent blast radius is the systems, data, users, or workflows that could be affected if an agent, credential, or tool behaves unexpectedly or is compromised.

How can enterprises secure AI agent credentials?

Enterprises can secure AI agent credentials by inventorying their source, owner, scope, lifetime, environment, usage, rotation, and revocation path.

How does identity context improve runtime security?

Identity context helps a runtime decision account for who is acting, what permissions apply, which resource is targeted, and how sensitive the requested action is.

AGENT IDENTITY & PERMISSIONS

Know the identity behind every agent action.

Understand agent credentials, permissions, access paths, and potential blast radius before sensitive actions happen.

Get Early Access