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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70% of Exposed organizations express confidence in their AI governance capabilities, yet only 4% of Exposed organizations have a formal AI governance policy.
86% of infrastructure leaders say they are confident in their organization's ability to govern AI, but only 30% have a formal AI governance policy in place.
Nearly 50% of workers who understand their organization's AI policy knowingly violate that policy by using unapproved AI tools.
98% of organizations have already allocated or expect to allocate budget for AI code governance.
Only 20% of organizations track error rates of AI-generated changes.
84% of developers and technology buyers agree the biggest challenge with AI-generated code is governing what happens to it after it's created.
91% of organizations are likely to invest in AI code governance tools in the next 12 months.
92% of developers and technology buyers report some form of governance challenge with AI-generated code.
80% of developers and technology buyers say their organization adopted AI tools faster than it developed policies to govern them.
Only 15% of organizations track the volume of AI-generated infrastructure-as-code moving through their pipelines.
63% of U.S. knowledge workers report having a clear AI policy that they understand.
85% of developers and technology buyers agree the next phase of AI in software will focus less on generating code and more on governing it.
71% of Pioneer organizations actively enforce a formal governance policy, and 24% of Pioneer organizations report having no outstanding AI governance concerns.
Pioneer organizations apply AI-generated IaC at 86%, compared with 69% for Exposed organizations.
37% of frontline employees prioritize speed over security when using AI tools
45% of UK organizations identify data used for AI and analytics as their biggest blind spot, the highest rate in Europe.
40% of EMEA leaders name data used for AI or analytics as their top operational blind spot.
53% of U.S. mid-market enterprise IT leaders report having full visibility into AI tool usage.
19% of U.S. mid-market enterprise IT leaders cite security, privacy and compliance as the top barrier to scaling AI.
26% of U.S. mid-market enterprise IT leaders say AI is scaled and governed enterprise-wide.