Turn your AI acceptable use policy into enforced controls.
AI Policy Enforcement
Classify every AI tool once, enforce allow, warn or block on every endpoint and at the firewall, and keep a record of who decided what.
A policy without enforcement is a suggestion.
Policy on paper
Without a technical control layer, compliance relies on self-reporting and violations go undetected.
All-or-nothing controls
If you can’t see which AI tools are in use, you can’t allow the approved ones and block the rest.
Drift between policy and reality
Every delay between a decision and its enforcement is a governance gap.
How SuperAlign AI policy enforcement works
Sort every AI tool into allow, warn or block. Newly discovered tools arrive unclassified until someone decides.
Key outcomes
Technically enforced policy
Your AI policy is enforced through controls, not a document.
TrackAI tools with an enforced decision
Consistent, real-time coverage
Decisions take effect at once on the endpoint and network layers.
TrackTime from decision to enforcement
An auditable decision trail
Approvals, blocks and reviews are logged with owner and timestamp.
TrackDecisions logged with owner and time
Give us two weeks.
We’ll show you what’s running.
Deploy on your MDM across 25–100 users. Keep the inventory, scored risk view, and a full session record—whether you buy or not.