AI
We've curated 1475 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.
Showing 221-240 of 1475 results
20% of organizations are implementing AI in high-priority systems.
9% of organizations have full integration of AI with modified workflow.
27% of organizations are implementing AI in low-priority systems.
37% of organizations reported a lack of cybersecurity metrics as a challenge in using AI for cybersecurity.
43% of small companies (<100 employees) are concerned with the emergence of generative AI.
52% of very large companies (10000+ employees) are concerned with the emergence of generative AI.
47% of large companies (500-9999 employees) are concerned with the emergence of generative AI.
45% of medium companies (100-499 employees) are concerned with the emergence of generative AI.
37% of organizations say their AI priority within cybersecurity is improving internal efforts.
51% of organizations surveyed focus on recruiting the right talent to manage AI-specific cybersecurity threats.
43% of organizations are in the early education/experiment phase of AI adoption.
16% of healthcare IT and compliance leaders admit compliance was never consulted before AI email tools were enabled.
70% of companies are in early stages of AI adoption.
Less than a third (31%) of organizations surveyed report that they are fully equipped to control and secure agentic AI systems.
Only 42% of healthcare organizations have signed a Business Associate Agreement (BAA) covering any AI assistant used in email.
74% of Pacesetters (most AI-ready group) report full capability with dynamic & granular access controls for AI systems and datasets, versus 27% of all companies.
87% of Pacesetters (most AI-ready group) report awareness of AI-specific threats, compared to 42% of all companies.
41% of healthcare IT and compliance leaders feel confident they could detect improper AI use before a HIPAA violation occurs.
50% of respondents surveyed need significant skill improvement in automation and AI.
84% of Pacesetters (most AI-ready group) report full capability with end-to-end encryption for sensitive data, versus 30% of all companies.