Discovery scans are open for pilot groups

Know the risk behind every AI vendor before your data reaches them.

AI Vendor Risk Management

Match every AI tool in use to an AIRiskDB profile, watch for vendor changes, and block or sign off without sending a single questionnaire.

01The challenge

Adoption moves at the speed of a sign-up. Vendor reviews don’t.

  • Reviews lag adoption

    People adopt AI tools faster than vendor-risk teams can assess them, so unreviewed tools already hold company data.

  • AI risks go undisclosed

    Retention, training use, residency and compliance posture need specialist review, and vendors rarely disclose them clearly.

  • Terms change silently

    A tool that was acceptable six months ago may have changed its terms. Watching every vendor by hand isn’t possible.

02The solution

How SuperAlign AI vendor risk management works

Each AI tool found on an endpoint or in network traffic is matched to its AIRiskDB profile. Scores and the reasons behind them appear right away.

03What you get

Key outcomes

  • Vendor intelligence without questionnaires

    A risk profile for every AI tool in use, with no vendor outreach.

    TrackAI tools with a vendor profile

  • Continuous vendor monitoring

    Know when a new high-risk vendor appears or an existing profile changes.

    TrackProfile changes reviewed within a week

  • Due diligence on record

    Evidence ready for compliance, legal and procurement sign-off.

    TrackVendors with signed-off evidence

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.