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 1381-1400 of 1475 results
Speed of threat detection was used to evaluate AI efficacy by 57% of respondents
Almost 59% of US cybersecurity professionals added new AI data responsibilities in the past year.
77% of respondents reported that one or more of those vendors had overhyped their AI performance or are underdelivering on their promises
83% of CISOs place significantly higher priority on AI data usage governance.
46% of Security Managers/Directors report the lowest confidence in controlling data used for AI training.
Around 45% say that AI is moderately beneficial and they’re starting to note the benefits
Incident response was the second security function where AI will provide the most value in the next 3 years, cited by 59% of respondents
71% of Security Managers/Directors focus on AI governance.
Vendor reliability and maturity were a reason for turning off AI functionality, cited by 50%
52% of Security Engineers/Architects have new AI data discovery responsibilities.
Security and privacy risks were a reason for turning off AI functionality, cited by 55%
The No. 1 security issue respondents are most hopeful that AI will help fix is the prioritization of disparate results from scanning tools, for which 82% are hopeful for gains
Just 6% of respondents say that they fully outsource their AI training
46% of security teams primarily depend on AI that is embedded in their security tools and delivered by their vendors versus building their own
21% say they apply AI to security through a mix of vendor-led and internal AI.
Almost 60% of organisations added new AI data responsibilities in the past year.
59% of security professionals now have new AI data discovery responsibilities.
100% of those who said their AI is very beneficial and a vital part of their security program have internal data science staff members
86% of security teams today utilize some type of AI within their security tool stack
Endpoint security (34%), antivirus/anti-malware (31%), and malware analysis (31%) were the security tech categories where AI is thought to be the most overhyped