Discovery scans are open for pilot groups

Answer every AI audit question with evidence.

AI Compliance & Audit

Keep a live, scored AI inventory, record every governance decision, map controls to frameworks, and export audit-ready evidence in one step.

01The challenge

Auditors don’t want an inventory. They want proof of control.

  • Evidence that’s stale on arrival

    Gathering AI governance evidence across tools takes weeks, and it’s out of date when it’s done.

  • No system of record for decisions

    Most teams can’t show when an AI tool was approved, blocked or reviewed, or by whom.

  • Regulation expects continuous governance

    The EU AI Act, DORA and SEC disclosure rules call for ongoing, defensible AI governance, not point-in-time snapshots.

02The solution

How SuperAlign AI compliance works

Every asset carries its current risk score and governance status, and scan coverage is logged across endpoints and the network.

03What you get

Key outcomes

  • A self-maintaining AI inventory

    An audit-ready inventory kept current continuously, not rebuilt under pressure.

    TrackAssets with a current risk score

  • Every decision on record

    Each governance action is timestamped, attributed and searchable, with endpoint and network evidence in one record.

    TrackGovernance actions with owner and time

  • Evidence aligned to regulation

    Evidence that lines up with the EU AI Act, DORA and SEC requirements.

    TrackPolicies mapped to a framework

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.

Day 1Endpoint sensor and browser extension pushed through Jamf or Intune. First results within the hour.
Week 1Full inventory with risk scores, plus one session reconstructed end to end.
Week 2Findings review against criteria you set before we started.
CostNothing. The findings are yours either way.