Adoption is outrunning oversight. VisIQ turns AI governance from a handbook into a runtime: one inventory of every custom agent, policy enforced before execution, and a signed record you can hand to the board or an examiner.
01
One inventory
Know what you're governing
Governance starts with a map. DISCOVER maintains a live inventory of every custom AI agent, MCP server, framework, and tool across the estate: the registered and the shadow alike.
→Continuous discovery across the whole estate
→Ownership, tool surface, and data reach per custom agent
→Shadow AI surfaced, not assumed away
→One source of truth for risk and audit
02
Policy as code
Decide once. Enforce forever.
Written policy that lives in a document can't stop anything. VisIQ compiles human decisions into rules enforced at runtime: a human approves a lane once, and every future action in that lane is governed automatically.
→Human-readable rules, enforced in the execution path
→AI-suggested baseline policy, ready for human review
→Approvals routed to a human for sensitive actions
→Default-deny: nothing runs on assumption
03
The board's questions, answered
What's running · what it can know · what it can do · can you prove it
The four questions every board and regulator is now asking about AI, each answered by an enforcement primitive that's live in the product, not a slide.
→What custom AI is running? A live, complete inventory
→What can it know? Data access scoped at request time
→What can it do? Every action authorized before it runs
→Can you prove it? A signed receipt for every decision
04
Lifecycle governance
Govern · Map · Measure · Manage
VisIQ implements the enforcement and documentation layer the NIST AI RMF calls for, across the full deployment lifecycle, at runtime rather than on paper.
→GOVERN: controls embedded in the runtime, not just documented
→MAP: behavior bounded and traceable across all systems
→MEASURE: every decision captured and queryable for risk reporting
→MANAGE: real-time blocking and escalation add human oversight
Same board. Same questions. Different answer.
The question isn't whether the custom agent works. It's whether it should be allowed to act, and whether you can prove it did only what it was allowed to.
Governance you can demonstrate
Turn AI governance into a runtime.
One control plane over every custom agent in the estate, with the evidence to show your work. See it enforce, in a read-only sandbox.