AI Governance
We've curated 154 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.
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Fewer than 30% of enterprises feel prepared for upcoming AI governance requirements.
Only 32% of organizations operate at a managed level with measured effectiveness and reporting in AI security governance.
50% of organizations reported that their organization uses AI for AI governance.
39% of organizations operate with inadequate AI governance structures entirely, relying on inconsistent frameworks, ad hoc practices, or no AI-specific governance at all.
70% of organizations adopting AI are lacking optimized governance.
A smaller share of Canadian middle market firms indicate they don't have AI governance in place compared to U.S. respondents (5% versus 20%).
34% of smaller middle market companies noted that AI governance steps are not yet in place.
83% of CISOs place significantly higher priority on AI data usage governance.
Security and privacy risks were a reason for turning off AI functionality, cited by 55%
Just over half of respondents said that they regularly disable AI functionality in some or all security tooling due to a range of considerations
Vendor reliability and maturity were a reason for turning off AI functionality, cited by 50%
71% of Security Managers/Directors focus on AI governance.
A lack of transparency and explainability was the top reason for turning off AI functionality, cited by 58%
Looking ahead, 70% of organisations will focus on AI/ML data usage governance.