AI Computer Control

AI Computer Control extends the assistant beyond analysis into controlled endpoint operations. It can execute defined tool actions for commands, scripts, services, file operations, disk workflows, and discovery tasks.

Execution Model

Every action is evaluated by the same AI risk system used across Breeze:

• lower-risk read operations can run automatically
• higher-risk mutating actions are gated by approval
• blocked operations never execute

This keeps AI useful for real operations while preserving change control.

Guardrails in Practice

AI tool calls are constrained by:

• role and permission scope (RBAC)
• tenant boundaries
• per-tool risk tiering
• approval workflow for sensitive actions
• audit logging for execution and denials

The model is action-level, so different operations within the same tool can have different enforcement behavior.

Operational Use Cases

Teams commonly use AI Computer Control to:

• run guided remediations across selected devices
• execute approved scripts faster during incidents
• perform safe file and service workflows
• trigger discovery or scan tasks with explicit oversight

Why It Matters

This feature turns AI from a chat-only surface into an operational copilot while ensuring technicians keep final authority over high-impact changes.