What is AI agent delegation?

By Identra · Updated October 3, 2026

AI agent delegation is the authorization of an AI agent to perform actions on behalf of a person or system. Secure delegation limits what the agent can do, which resources it can access, how long authority lasts, and whether it can delegate further.

Key numbers

Machine identities outnumber human identities 82 to 1 in organizations (CyberArk Identity Security Landscape, 2025)
68% of organizations lack identity security controls for AI (CyberArk Identity Security Landscape, 2025)
79% of senior executives say AI agents are already being adopted in their companies (PwC AI Agent Survey, 2025)

How does AI agent delegation work?

A person or system assigns a task, and an authorization mechanism gives the agent access to the resources needed to complete it. The task instruction and the access grant are separate. Asking an agent to summarize a contract does not itself justify permission to edit contracts or share them externally.

The agent may call an API directly, use a tool service, or ask another agent for help. Each receiving service must decide whether the requested action is authorized. Passing work to a sub-agent does not inherently transfer permissions. That depends on how credentials and access policies are configured.

An AI agent identity identifies the acting agent. A delegation record should also identify the authorizing person or system, permitted actions, target resources, expiration, and any restrictions on further delegation. Credentials alone may not contain all that context.

Is delegation the same as OAuth on-behalf-of?

Delegation is the broader authorization concept. OAuth on-behalf-of is an implementation pattern for a service calling a downstream service in a user's context. For example, Microsoft's flow obtains a downstream access token using delegated permissions. It does not use application permissions. Microsoft's documentation describes those boundaries.

A token exchange does not automatically enforce the user's business intent or preserve a complete agent history. Those properties depend on the authorization service, application controls, and logs. A valid permission to send email still needs a separate decision about whether this task should send this message.

Delegated user access
Authority used
Access in a user's context
Security consideration
Keep actions within both authorized access and the approved task.
Application access
Authority used
Permissions assigned to the application
Security consideration
Do not assume the requesting user's access limits apply.
Shared service account
Authority used
Permissions of a common account
Security consideration
Separate application records are needed to attribute requests to users and agents.

Access pattern	Authority used	Security consideration
Delegated user access	Access in a user's context	Keep actions within both authorized access and the approved task.
Application access	Permissions assigned to the application	Do not assume the requesting user's access limits apply.
Shared service account	Permissions of a common account	Separate application records are needed to attribute requests to users and agents.

Why can delegated agents gain too much authority?

An agent may have credentials that allow much more than the task requires. Connecting email, document storage, and administrative tools can increase the actions it can reach. Sub-agents increase exposure when they receive broad credentials or can ask a more privileged agent to act for them.

The confused deputy problem occurs when a privileged service misuses its authority for a caller. An agent can become that deputy if it accepts a user's request and executes it with broader application permissions without checking the user's entitlement.

Prompt injection can redirect an agent through instructions embedded in content it reads. The resulting damage depends on reachable tools, effective permissions, and enforcement controls. It does not automatically equal the strongest credential anywhere in the system. Permission boundaries can contain the effect.

What does delegation look like in an enterprise workflow?

Consider a procurement analyst asking an agent to compare a supplier's renewal proposal with the current contract. The approved task permits reading the relevant documents and preparing a recommendation. It does not permit changing supplier bank details, accepting the contract, or emailing confidential pricing to an outside address.

The main agent asks a specialist agent to extract renewal terms. That specialist should receive the selected document or narrowly authorized access to it. It should not receive the analyst's browser session or a credential covering the entire procurement workspace.

Suppose the proposal contains instructions to send the current contract to an external mailbox. The workflow should treat that text as document content. The send operation should fail authorization or require a separate approval showing the recipient and exact material to be sent. The original research request must not serve as blanket approval for unrelated actions.

How do you secure AI agent delegation?

Apply least privilege to the task and enforce it outside the model. A prompt asking an agent to behave safely is useful guidance, but the service executing an action must enforce the access decision.

Define the allowed actions and resource boundaries before granting access. Separate reading, modifying, sharing, and administering resources.
Identify the initiating user or system and the acting agent. Reject requests when required identity or authorization context is missing.
Issue narrowly scoped, short-lived credentials where supported. Validate their intended recipient and avoid forwarding credentials to unrelated services.
Restrict further delegation. Specify which sub-agents may participate and ensure they cannot receive or exercise broader authority than the task permits.
Require approval for sensitive actions. Bind approval to concrete details such as the destination, target record, proposed change, and data being disclosed.
Plan how to stop work. Disable new requests, terminate active runs where possible, and revoke relevant grants or sessions. Verify what remains usable until credentials expire.
Test denied paths, including unauthorized resources, expired credentials, altered destinations, and requests made through a more privileged tool.

What should a delegation audit trail show?

An AI audit trail should connect the initiating request to the agents, tools, authorization decisions, and resulting actions. Record the task reference, acting identity, authorizing principal, target resource, requested operation, approval reference where applicable, and outcome. Include denied actions and downstream failures.

Preserve enough context to distinguish an approved action from an agent's unsupported interpretation. Avoid logging reusable credentials or unnecessary sensitive content. Protect records from alteration and make them available to incident responders.

A useful review asks whether investigators can reconstruct a sensitive action and whether operators can stop equivalent actions from continuing. Log completeness and effective containment should both be tested. A recorded user name alone does not establish that the user authorized the specific action.

How Identra thinks about it

Identra helps teams identify AI agents and their owners, review connected app permissions, and apply policy across browser, endpoint, and identity, SaaS, and cloud environments. Recorded endpoint agent runs and analyst revocation of risky OAuth grants support investigation and reduction of unwanted access.

Go deeper: AI security, built on identity

Frequently asked questions

Does assigning a task grant an agent permission?

No. A task describes the desired result. Access must be granted and enforced separately, and existing access may be broader than the task requires.

Can an agent delegate work to another agent?

Yes, if the workflow permits it. The receiving agent should get only the data and authority needed for its assigned work, with restrictions on further delegation.

Does delegation require sharing the user's password?

No. Use supported authorization mechanisms that let an agent act within defined permissions without receiving the user's password. Sharing credentials also makes attribution and access termination harder.

Does human approval make delegation safe?

Approval helps when it covers a specific action and shows its consequences. A broad approval to complete a task cannot reliably authorize every later tool call or destination change.

Does revoking access stop an agent immediately?

Not necessarily. Existing credentials, active sessions, queued work, or already submitted operations may remain effective depending on the system. Test revocation behavior alongside run termination and downstream enforcement.

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