AI Visibility & Governance
Replace assumptions about AI usage with evidence.
Most enterprises have adopted AI faster than they can see it. Assistants in browsers, copilots in productivity suites, models called from scripts, and agents acting on behalf of users leave a fragmented trail across identity, endpoint, and network systems.
The challenge
Questions leaders need to answer
- 01 Which AI tools and services are actually in use?
- 02 Who is using them, on which devices, under which identities?
- 03 Which enterprise systems and integrations are AI tools connected to?
- 04 Which uses are sanctioned, tolerated, or prohibited by policy?
QAISG connects those signals into an attributed picture of AI activity that governance teams can act on and evidence.
What QAISG provides
Outcomes
- Inventory
A living inventory of AI tools, models, and services with ownership and status.
- Attribution
Usage linked to identities and devices, aggregated to teams and business units.
- Governance decisions
Approvals, exceptions, and policy outcomes recorded with provenance.