AI
We've curated 1425 cybersecurity statistics about AI to help you understand how machine learning algorithms, automated threat detection, and AI-driven defenses are shaping the landscape of cybersecurity in 2025.
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Showing 1-20 of 1425 results
82% of hackers now use AI in their workflows, up from 64% in 2023.
67% of banks are implementing AI.
16% of banks have an enterprise-wide AI roadmap.
82% of credit unions are implementing AI.
9 in 10 organizations are piloting or using AI in identity and access management (IAM), yet only 7% have organization-wide deployment.
Approximately 45% of advanced email attacks showed indicators of AI assistance, projected to rise to 75–95% within the next 18 months
Only 1% of users click through to source websites that have an AI summary, indicating diminished referral traffic for Media and Entertainment publishers.
22% of IT leaders identified AI maturity and regulation as the second-largest disruptor in 2026.
50% of UK consumers lack understanding of how AI technologies could improve their financial experience, with only 16% reporting full understanding in 2025.
25% of U.S.-based cybersecurity decision-makers ranked AI enablement among their top cybersecurity priorities for 2026.
66% of IT leaders view AI-generated attacks as the most significant threat to data security, surpassing ransomware at 50%.
73% of cybersecurity professionals believe AI will create more specialized cybersecurity skills.
57% of organisations in Asia have already incorporated AI into one or more areas of their operations.
51% of Americans see AI as a threat to the safety of using mobile apps.
72% of governance leaders in Asia want more strategic planning time to optimise governance processes.
68% of governance leaders in Asia identify digital technology skills as a critical board development need.
37% of governance leaders in Asia now require CTO/CIO presence in board meetings for AI discussions.
86% of governance leaders in Asia see task efficiency and productivity as the greatest benefits to agentic AI.
64% of governance leaders in Asia cite data quality and privacy concerns as top risks associated with agentic AI.
53% of governance leaders in Asia seek increased exposure to external experts to optimise governance processes.