What is identity-based access control for AI tools?

Acutis Gate · guides for IT directors · updated October 2026

Short answer: identity-based access control for AI means the AI never acts as itself. Every action it takes on your systems is tied to the real person who asked, limited to what that person is allowed to do, and recorded under their name. It is the same idea as network access control for people and devices, applied to AI tool calls.

The problem it solves

AI assistants become useful when they can reach your systems: the HR system, finance, the CRM, the file server. The fastest way to connect them gives the AI one powerful account. Then the AI can see more than the person asking, and nobody can say afterwards who asked for what. Identity-based access control closes both gaps.

The four parts

Authenticate the person, not the app: Windows sign-in, your identity provider, or a personal token per person.
Limit what the model is shown: only the tools that person may use appear in the AI's context.
Check and delegate every call: rules decide allow, deny or "needs an approver", and allowed calls run with the person's own login, so the app's own permissions still apply.
Record everything: the person, their groups at that moment, the tool, the arguments, the result and the identity the call ran as, in a trail that cannot be quietly edited and that flows to your SIEM.

What it is not

Not prompt filtering: it controls what the AI can reach and do, not what people type.
Not intent detection: it does not guess whether a request is malicious. Rules you write decide.
Not a single sign-on alone: signing in to the chat app tells you who is chatting, but the tools behind it can still run on one shared account.

Questions to ask any vendor

When two people with different roles ask the same question, do they get different answers?
Does each audit record name the real person and the identity the call ran as?
Is anything not explicitly allowed denied?
Can a change wait for a second person, and is that approval recorded?
Does it work with both cloud AI and a model on your own hardware?

Acutis Gate is identity-based access control built for AI: every action runs as the person who asked, under guardrails you set, recorded in full and streamed to your SIEM, for cloud AI and local AI alike. You can tour the live console.

Identity-based access control, built for AI

Gate ties every AI action to a person, limits it to their rights and your rules, and records it in full.

Start a 14-day trial Tour the live Gate

Frequently asked questions

What is identity-based access control for AI?

A control model where every AI action is tied to the real person who asked, limited to what that person may do through rules and their own app permissions, and recorded under their name.

How is it different from giving the AI a service account?

A service account gives every user the account's full reach and hides who asked. Identity-based control runs each call as the person, so their own permissions apply and the record names them.

Does identity-based access control work with local LLMs?

Yes. It sits between the AI app and your systems, so it works the same whether the model runs in the cloud or on your own hardware.

Is identity-based access control the same as AI guardrails?

Guardrails are part of it: the rules that allow, deny or require approval. Identity-based control adds who the action belongs to and runs it with that person's own access.