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 1261-1280 of 1475 results
Only 3% of organizations have ruled out autonomous AI entirely.
Healthcare has 11.8% employee AI adoption.
39.5% of AI tools have the key risk factor of inadvertent exposure of user interactions and training data.
Cloud documents receive 18.0% of AI-generated content.
Sales and marketing data constitutes 10.7% of sensitive data going into AI.
72% believe AI will play a significant role in exposure management.
Mid-level software engineers use AI 189% more than their more junior counterparts.
46% of organizations will use AI for real-time policy enforcement.
Claude usage rose 136.1% after version 3.5 launched.
33% are actively building their automation strategies
49% have long-term roadmaps for automation.
HR and employee records account for 4.8% of sensitive data going into AI.
Cyberhaven's assessment of over 700 AI tools found that a troubling 71.7% fall into high or critical risk categories.
44% of organizations say it’s difficult to hire for automation and AI roles.
5.5% of AI-generated outputs appear in IT and security tools.
30% of organizations are considering implementing AI.
19% of security teams rely almost entirely on manual processes.
Mid-level employees use AI tools 3.5 times more frequently than manager-level employees.
89% of security teams have already begun to implement AI into their exposure validation processes.
47% cannot secure shadow AI usage in their organization.