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POSTday 94·12d ago·by Andy Padia

Grok Bot roles share the authority of their user's computer

Grok Bot documentation separates bot personalities from runtime isolation. A finance bot and a support bot under one user should not be treated as separate trust domains.

Grok Bot's enterprise documentation describes one persistent computer per user, shared by every Bot that person runs. A finance Bot and a support Bot can have different roles while reaching the same files and signed-in accounts. The documentation explicitly warns against treating separate Bots as a security boundary. Enterprise model, security guidance.

That changes how I would draw the deployment diagram. The permissions box belongs around the user's computer and credentials, not around each named character inside it. A row of specialist Bots is a workflow design; it is not evidence of isolated authority.

This is easy to miss because role names carry organisational meaning. In a company, finance and support usually imply different responsibilities. Giving software those names does not import the company's access rules into the runtime.

The session carries more power than the persona

Imagine a hypothetical setup with a support Bot drafting replies and a finance Bot reconciling invoices under the same user. The finance work requires a signed-in billing service. Under the documented shared-computer model, I should treat that session as available to the other Bots belonging to that user too.

I would not solve that by adding a sentence telling the support Bot to stay away from invoices. That instruction expresses intent. It does not remove the session or make the billing service reject an action. The enforcement question is what happens if the wrong Bot attempts the operation anyway.

This is a design review example, not an incident observed in a customer's account. The primary documents are unusually clear about the boundary. The risk comes from drawing a stronger boundary than the product claims, then making access decisions on that imaginary architecture.

The same distinction applies during cleanup. Deleting a role is not necessarily the same operation as signing out of a shared service or removing a file from the shared computer. The security documentation tells users to manage that shared state explicitly. Shared-computer guidance.

Inventory authority before adding specialists

My first deployment artifact would be an access inventory for the user environment. List the services signed in, the files present and the actions those credentials can perform. Only then map the proposed Bot roles onto that actual authority.

Where two workloads require different trust domains, use an arrangement that the product documents as providing separate computers and credential sets. The enterprise guide points to separate users for that requirement. Application-level service accounts should also be scoped to the work they need to do. Isolation guidance.

I would verify the resulting separation with harmless test resources. Give one environment access to a dummy invoice and the other access to a dummy support ticket. Confirm that crossing the boundary is denied by the service or environment, rather than merely declined in the Bot's prose.

That test also gives the security team something more useful than a screenshot of role descriptions. It shows which identity attempted the action, which control evaluated it and why access was denied. The result belongs with the deployment configuration, because credentials and sessions can change after setup.

Named specialists remain useful for organising work and keeping instructions understandable. The mistake is asking those names to carry permissions they do not enforce. A simpler roster with explicit access boundaries is easier to operate than an elaborate org chart inside one broadly authorised computer.

Assign Bot roles for coordination; assign runtime identities for authority.

#ai-agents#security#permissions
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