AI Governance
We've curated 140 cybersecurity statistics about AI Governance to help you understand how organizations are establishing frameworks for ethical AI use, addressing risks, and ensuring compliance as this technology continues to shape digital landscapes in 2025.
Showing 41-60 of 140 results
85% of IT professionals report having AI policies or oversight mechanisms in place.
16% of organizations enforce AI access controls consistently across the environment
Eight of 15 models have an absolute cross-regime gap greater than 15 percentage points.
24% of organizations say they have no AI-specific access controls
68% of technology leaders express concern that their AI agents will behave unpredictably.
One in three large organizations lack a formal AI governance framework.
Only 40% of organizations have a formal AI governance framework in place.
65% of organizations report challenges with shadow AI.
Only 18% of organizations automatically block unauthorized AI domains.
Nearly 60% of AI leaders cite cross-border data restrictions as a major challenge.
42% of Chief Information Security Officers say insufficient focus on AI governance is their primary concern about the future policy environment.
52% of organizations report their use of AI is unapproved or ungoverned.
Only 34% of organizations maintain a formal AI model inventory.
97% of organizations claim they have certified model governance.
47% of large organizations do not have full visibility into employee AI tool usage.
Only 35% of middle market executives report using formal AI governance frameworks.
More than 95% of organizations say private and sovereign AI are important.
44% of middle market companies define roles and responsibilities for AI decision-making.
66% of enterprises have clear guardrails for defining AI agent boundaries.
30% of enterprises name AI governance and risk management as their top AI security challenge.