You Cannot Govern AI You Cannot See

AI is entering organizations through approved projects, existing software, third-party vendors, and employees experimenting with public tools. As a result, many organizations cannot confidently identify every AI system they use, what information it accesses, or who is accountable for it.

This lack of visibility creates significant risks. Shadow AI can expose sensitive information, embedded vendor features can introduce unreviewed processing, and unowned systems can continue operating without monitoring or oversight.

The Vertex11 whitepaper, “Visibility: Knowing What AI You Actually Have,” examines the first pillar of The 15 Guardrails of AI.

It focuses on two foundational guardrails:

• AI Use Case & Asset Inventory
• Logging, Auditability & Explainability

Together, these guardrails contain 15 controls designed to help organizations identify their AI systems, assign ownership, maintain reliable records, explain consequential decisions, and detect changes before they become incidents.

The controls have been validated against NIST AI RMF 1.0, the EU AI Act, ETSI TS 104 223, and ISO/IEC 42001:2023.

Download the complete whitepaper to assess your organization’s AI visibility and uncover the shadow or embedded AI that may be operating outside existing governance processes.

[Download the Visibility Whitepaper]