New in AI Visibility: Prioritize In-Use Apps, Reveal Crucial Context, Codify AI Governance.

Shadow AI happens faster than governance.

And since Shadow AI isn’t a single rogue tool, governance fails at the handoff when status is unclear, decisions are implicit, and the “why” lives in someone’s head.

IT, Security, and Legal teams need to conduct timely reviews by referencing what tools are allowed, what’s being used, and the context for why decisions are made.

AI Visibility’s latest release shortens the list to review, forces a decision, and stores the evidence for compliance, codifying your governance (even if it’s still evolving).

How It Works

Prioritize In-Use Apps
App status is now in the AI table. Filter out lower priority apps that are retired or unapproved, and you’ll be left with what people are actually using.

Decide in the Open

Mark AI as “Reviewed (approved)” or “Reviewed (not approved)”. Decisions are explicit and visible to Security, Legal, and IT.

Develop Governance
Notes surface on hover so anyone can read context at a glance. AI review tags like “Policy non-compliant” or “AI training opt-out unavailable” give rich context into portfolio status according to your governance model.

This release is neatly aligned to our mission of empowering teams to take control of rampant AI sprawl, and was inspired by enthusiastic user feedback. If you’re ready to Light Up Shadow AI, click the button and we’ll get started.