Business Value

AI Governance urgency is at an all-time high. Once AI implementation spreads beyond 1–2 departments, the urgency to govern AI jumps significantly. 80% of enterprises actively exploring or deploying AI, view AI Governance as highly urgent. Yet, most enterprises are still relying primarily on manual AI Governance or ad hoc solutions. As AI adoption scales, manual processes quickly become a bottleneck, driving up operational costs and increasing risk.
Our research findings are clear: the biggest barriers to AI Governance aren't technical. They're operational.
Explore what’s working, what isn’t, and what your AI Governance program needs to scale in 2026 in The State of AI Governance Report.
60% of organizations are already deploying AI across multiple departments — yet only 4% are governing it at scale. This report maps the current reality of AI Governance maturity across industries so you can benchmark your organization and identify where to focus.
From incomplete AI inventories to manual workflows that break under pressure, the top barriers to scaling AI Governance are operational — not technical. Discover what's holding organizations back from effective AI risk and compliance management, and what a path forward looks like.
AI risk management, data governance visibility, and centralized oversight consistently emerge as the capabilities organizations need most. This report shows you which capabilities to invest in, and in what order, to build an AI governance program that keeps pace with your AI footprint.
As organizations adopt agentic AI and employees use AI tools outside formal governance structures, the challenge of runtime governance is becoming urgent. This report helps you understand how to stay ahead of emerging AI safety needs, including Shadow AI discovery and agentic AI observability, before they become unmanageable risks
We set the standard for trusted AI — thoughtfully. Join the enterprises achieving Measurable Trust across agents, models, and applications.

