Does an AI Agent Need Its Own Identity?

Yes. An agent that runs on an employee's username and password becomes indistinguishable from that employee, and the company loses three things at once: knowing who did what, limiting what the agent can do, and switching it off without affecting a person.

Carlos Andrés Ramírez · 2026-10-13

Yes. An agent that runs on an employee's username and password becomes indistinguishable from that employee, and the company loses three things at once: knowing who did what, limiting what the agent can do, and switching it off without affecting a person.

Picture an agent that matches payments to invoices during a month-end close. Someone in finance connects it to the systems with their own login, because it is the fastest way: no ticket to IT, and the pilot starts the same day. It works well. Three months later the agent processes thousands of transactions a week, and in the audit trail every one of them carries that analyst's name.

It is a reasonable shortcut while the agent is an experiment, and it becomes a problem once the agent is not. An access system exists to answer one question: which person did this. If the agent signs in as a person, the answer is still there, and it is wrong.

The short answer

Do AI agents need their own identity and credentials, separate from an employee's?

They do, and the reason is not security in the abstract. An agent with its own identity is an actor the company can name, scope and retire. An agent on an employee's credentials is an invisible extension of that person: same permissions, none of their judgment, and nobody who explicitly decided it should be there. Three consequences follow, and they are what justify the effort of setting it up properly.

First support

With shared credentials, the record stops saying who decided

When an auditor, a regulator or the risk committee asks who approved a transaction, the answer comes from the access record. If the agent and the analyst share a login, that record mixes two kinds of actor that behave very differently: a person who reviews ten cases a day with care, and an agent that runs a thousand without tiring and without asking itself anything. Separating them afterwards, case by case, is an investigation and not a query.

There is an effect on the person too. The analyst ends up as the author of decisions she did not make. If one of them goes wrong, she has to prove it was not her, in a system that says otherwise. Anyone who has lived through a close with an unexplained difference knows what that costs.

Second support

An employee's permissions fit a job, not what an agent can do with them

A person's permissions are calibrated for a person. The analyst can see every account in the department because she sometimes needs to look up any of them, and she can release payments up to a limit because she does it one at a time, with room to hesitate. An agent with the same permissions inherits the breadth but not the brake. It can sweep every account in a minute and chain payments up to each limit, and nothing in the system sets that apart from an ordinary day of work.

A separate identity lets you apply least privilege: give the agent only the access its task needs. The reconciliation agent needs to read invoices and transactions and propose entries. It does not need to release payments. On the analyst's credentials it has that power anyway. On its own, it does not, and the agent's perimeter lives in the system rather than in trust.

Third support

Stopping an agent should not mean resetting a person's password

The day something fails, the first question is how to stop it. If the agent uses an employee's login, the only clean way is to lock that account, which leaves her without access to her own work while the issue is investigated. Usually nobody does it, because it costs too much, and the agent keeps running while someone decides. With its own identity, you revoke that credential and only that one. The person keeps working and the agent is stopped at a single step.

The same problem appears when the person changes roles or leaves. Her account is deactivated, as it should be, and the agent that depended on it stops working without warning, or worse, someone reactivates the access so the process does not break. An agent identity has its own life cycle: someone creates it, someone answers for it and someone retires it.

An agent on an employee's credentials has no permissions of its own. It has another person's, without that person having decided it.

BECOME

What it takes

An agent identity is four decisions, not a tool

Almost every corporate system already supports service accounts or non-human identities, so the hard part is not the technology. It is deciding four things before the agent is connected.

One identity per agent

Each agent has its own account, with a name that marks it as an agent in any record. It is not shared across different agents, because then the attribution problem comes back one level up.

Permissions written from the task

Start from what the agent does and grant exactly that. If it later needs more, someone asks and someone approves. The opposite, starting with a person's permissions and trimming later, almost never happens.

A named owner

A specific person answers for the identity: knows what it can do, checks regularly that it is still needed and decides when it is retired. Without an owner, agent accounts pile up and nobody dares delete them.

Credentials that expire

The agent's keys are rotated on a defined schedule and can be revoked immediately. A credential that never expires is, in practice, a permission somebody forgot they granted.

None of this slows the agent down. What changes is that every action it takes is recorded under an identifiable actor, with a known perimeter and a switch that affects nobody else.

Ask IT for the list of agents and automations running in the company today and, for each one, which account it signs in with. Anything that shows up under a person's name is an agent without its own identity, and that is your first backlog.

Let's review which identity your agents work under