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 621-640 of 1475 results
89.3% of organizations are already using AI-powered coding assistants.
60% of organisations fear the rise of AI-generated threats.
31.5% of organizations produce SBOMs due to industry regulations.
96.1% of organizations are integrating open source AI models into their products.
18% of companies are affected by "Shadow AI".
21.1% of companies lack confidence in their ability to prevent AI from introducing security vulnerabilities.
A decisive shift towards memory-safe languages has been adopted by 80.4% of companies.
32% of respondents believe that AI-based cybersecurity tools have the greatest impact.
70.8% of organizations now produce Software Bills of Materials (SBOMs).
Enthusiasm for AI-powered defenses has dipped from last year’s high of 87%.
39.4% of organizations produce SBOMs due to customer and partner requirements.
26% of respondents indicated that AI-based cybersecurity tools are prioritised for funding.
74% of cybersecurity professionals report that AI is making insider threats more effective.
Only 31% of security leaders use AI-powered SOC tools across core detection and response workflows.
87% of security leaders are deploying, piloting, or evaluating AI-powered SOC tools.
60% of AI adopters have cut investigation times by at least 25%.
AI-enhanced phishing and social engineering are the most concerning tactics (27%) for insider threats.
More than half of executives believe AI tools are fully deployed, contrasting with managers and analysts who report many are still in pilot or evaluation stages
Two of the top three current insider threat vectors are now AI-related.
97% of organisations use some form of AI in their insider threat tooling.