1 in 2 employees use unapproved AI tools at work (CIO.com, 2025), and 57% have entered confidential data into them (TELUS Digital, 2025). Meanwhile approved requests disappear into review queues, vendors change their terms after sign-off, and teams wire up agents nobody diligenced. Most firms discover their real AI estate is larger than the one they assumed.
Illustrative baseline. Real numbers within days of connection.
Complete visibility across identity, network, endpoint, and DLP sources: sanctioned tools, shadow tools, personal accounts touching firm data, and the spend behind all of it. Surface tools before they surface in an exam.
A proper AI vendor review takes days by hand and goes stale the next time the vendor changes its terms. Clarier returns a graded trust report on data training, retention, breach history, and subprocessor exposure, scored against your criteria. Set your own gating rules, zero retention as a hard requirement if that is your standard, and scoring follows.
When a team requests a new tool, guided intake and pre-filled vendor research route the decision to the right reviewer with the evidence already attached. When the approved path is faster than the workaround, people take the approved path.
The vendor you approved is not the vendor you have: SaaS products switch on AI features on their own release cycles, and each release changes how your data is handled without triggering a new review. Internal builds are the other blind spot. A custom agent or an LLM wired into a workflow is an AI system with data access and no vendor to diligence. Both stay on the same inventory, under the same criteria, with changes detected and routed for re-decision.
Governance built as enablement: yes is the fast answer, with the receipts attached.
A short call, on your environment: where you stand today, and what a regulator would see if they asked.