How Console Prevents Unauthorized Actions
Overview
Console’s AI agent is intentionally constrained so that it cannot take unauthorized actions across connected systems. This article explains how Console limits AI capabilities by default, and how actions are only made available when explicitly configured by the IT team.
Console does not have write access by default
By default, Console does not have the ability to perform write actions in connected systems. The AI can read and look up data, but it cannot make changes unless the IT team has explicitly configured an automation that allows it.
Connecting an integration alone does not enable write access. No actions are taken simply because a system is connected to Console.
Actions must be explicitly configured by IT
When an automation exists, actions are only made available to the AI agent in the designated context.
For example, an action for adding a user to a group will only be provided to the AI if the user’s request matches an automation that includes that action. Actions are not made available for unrelated requests.
This prevents the AI agent from accessing tools outside of the specific workflows defined by the IT team.
Default permission boundaries limit scope
Playbook actions in Console are limited to the user who initiated the request. For example, if a self-service automation allows password resets, users can only reset their own password unless the IT team explicitly configures otherwise.
These default boundaries limit the scope of what actions can be performed and reduce the risk of unintended access or changes.
Unauthorized actions are blocked by the backend
The AI agent does not determine whether an action is allowed to run. If a request does not match an existing automation or does not meet the configured conditions, the action is blocked.
The AI agent cannot escalate privileges, make tools available on its own, or execute actions outside of the workflows defined by the IT team.
Console operates within IT-defined constraints
Console is designed so that the AI agent operates strictly within the constraints defined by IT administrators.
This design allows teams to safely automate IT workflows while maintaining control over which actions are available, when those actions can run, and who is allowed to trigger them.