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 requests sit in review queues, vendors change terms after sign-off, and teams wire up agents nobody diligenced.
Illustrative baseline. Real numbers within days of connection.
Visibility across identity, network, endpoint, and DLP sources: sanctioned tools, shadow tools, personal accounts touching firm data, and the spend behind all of it.
Clarier returns a graded trust report on data training, retention, breach history, and subprocessor exposure, scored against your criteria, so set zero retention as a hard gate and scoring follows. When a team requests a tool, guided intake and pre-filled research route the decision to the right reviewer with the evidence already attached.
SaaS products switch on AI features on their own release cycles, and none of those releases trigger a new review on your side. A custom agent wired into a workflow has data access and no vendor to diligence. Both stay on the same inventory, 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.