Guides, Playbooks & Reports
60% of enterprises are scaling AI. Only 4% have governance mature enough to keep up. We surveyed 371 senior leaders and here's what the gap really looks like
The definitive 2026 benchmark for where AI governance stands and where it breaks. Inside the data from 371 senior leaders:
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.
The trusted leader in AI governance. Helping enterprises govern agentic AI systems at scale.
