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 101-120 of 140 results
36% of organizations with a SOC believe they have a strong ability to detect whether AI tools are introducing new, less visible forms of data leakage.
93% of security leaders state that comprehensive guardrails and transparent decision-making are critical for safe operation of agentic AI.
42.4% of teams address AI separately from standard governance structures.
73% of organizations report internal conflict over ownership of AI security controls.
73% of U.S.-based cybersecurity leaders say AI oversight and governance is the most important future capability.
76% of organizations cite shadow AI as a definite or probable problem.
Nearly all CISOs now report that their responsibilities include AI governance and risk management.
Just 18% have fully integrated AI governance into their insider risk programs.
54% of CIOs say they have discovered unsanctioned 'shadow AI' in use inside their organizations.
85% of CIOs say gaps in traceability or explainability have already delayed or stopped AI projects from reaching production.
82% of CIOs say employees are creating AI agents and applications faster than IT can govern them.
40% of organizations are increasing their overall identity and security budgets to accommodate AI agents, with 34% adding a dedicated budget line and 22% reallocating funds from other security areas.
50% of organizations have formal, active AI policies in place, and 42% are actively developing AI governance frameworks.
76% of operations professionals say their organization relies on workarounds because their tools and processes can’t keep pace with changing business priorities.
Only 26% of organizations have fully documented and enforced AI governance policies in 2025.
70% of operational management professionals reported using ungoverned AI tools.
13% of organizations reported having strong visibility into how AI systems handle sensitive data.
9% of IT leaders globally believe their organization has a 'highly effective' defense against AI-generated cyber threats.
26% of IT leaders globally have solutions in place to monitor AI usage.
69% of IT leaders globally reported lacking a formal tracking system to monitor AI adoption.