AI Visibility, Governance & Cost Control
Find Every AI System in Your Enterprise — Then Govern It.
Business units adopt AI tools on expense cards. Developers wire agents into production. Vendors ship AI features into software you already run. In most organizations, no one holds a complete inventory of any of it — which means there is nothing to apply policy to, nothing to monitor, and nothing to show an auditor.
Our AI Visibility & Governance solution builds that inventory first: every model, agent, vendor, and data flow, sanctioned or shadow. Then we turn it into enforced policy, live usage and cost monitoring, and continuous compliance evidence.
The result is a single, living source of truth for every AI decision your board, your auditors, and your finance team will ask about.
Start an AI Discovery AssessmentWhy Governance Fails Today
Shadow AI tools, unmanaged agents, and embedded vendor AI features spread faster than security can track. Without a complete inventory, every downstream control is built on guesswork.
An AI acceptable-use policy in a wiki enforces nothing. Violations are discovered after an incident, if at all — never blocked at the moment they happen.
Token spend, data exposure, and model risk accumulate with no owner and no dashboard, surfacing only when finance sees the bill or an auditor asks a question no one can answer.
How It Works
Discover & Inventory
We map every AI system in use — LLM APIs, self-hosted models, agents and MCP servers, AI coding assistants, and AI features embedded in the SaaS you already buy. Discovery spans network egress, identity, cloud, and expense signals so shadow AI surfaces alongside sanctioned use. You leave this phase with a complete, structured inventory of models, agents, vendors, and the data flowing through them.
Enforce Policy
We translate your acceptable-use, data-handling, and access requirements into policy enforced at runtime. High-risk actions are blocked or routed for approval as they happen — not flagged in a report weeks later. Every model and agent gets a defined owner, a data boundary, and an access scope.
Monitor Usage, Cost & Risk
Usage, token spend, and risk are tracked continuously across every model and vendor. Runaway consumption is caught before it reaches finance, and exposure is quantified so you can prioritize what to remediate. Every decision feeds a queryable audit trail.
Produce Evidence
Controls and outcomes map to NIST AI RMF, ISO/IEC 42001, SOC 2, and your internal frameworks — generated continuously as a by-product of operations, not reconstructed the week before an audit.
What this covers
- Enterprise-wide AI discovery — sanctioned and shadow
- Model, agent, and vendor inventory with data-flow mapping
- Runtime policy enforcement and access boundaries
- Usage, token, and cost monitoring across models and vendors
- Risk quantification and prioritized remediation
- Queryable, structured audit trail for every AI decision
- Compliance mapping to NIST AI RMF, ISO 42001, SOC 2, and custom frameworks
- Board- and audit-ready reporting
Inventory-First vs. Policy-on-Paper
- No complete inventory of AI in use
- Rules written in a document nobody enforces
- Violations found after an incident
- Cost and risk owned by no one
- Compliance reconstructed before each audit
- Complete inventory, including shadow AI
- Policy enforced at runtime
- High-risk actions blocked as they happen
- Usage, cost, and risk monitored continuously
- Audit evidence generated as you operate
Who this is for
AI Visibility & Governance is for security and risk leaders who are accountable for AI use they cannot currently see — facing a board question about AI risk, an audit against a new framework, or a finance team asking why AI spend is climbing. It is the foundation the other two pillars depend on: you cannot secure or defend what you have never inventoried.
Ready to see every AI system in your enterprise?
Book an AI Security Risk Review. We will walk your AI footprint, show you where shadow AI and ungoverned agents are creating exposure, and hand you a prioritized inventory and risk list you keep.
Start Your AI Discovery Assessment
Tell us what you already know about your AI footprint and we will show you the gaps — including likely shadow AI — and the governance and compliance evidence you are missing. We reply within one business day.