AI
We've curated 1623 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 1581-1600 of 1623 results
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
Among those security departments that do their own custom AI work, 66% report that they have hired their own internal data science staff within their security teams
Speed of incident response was used to evaluate AI efficacy by 51% of respondents
Only 21% use AI to automate away configuration management and system hardening
Vendor reliability and maturity were a reason for turning off AI functionality, cited by 50%
39% of firms are using AI to solve data overload problems that stymie vulnerability and exposure management work
Speed of threat detection was used to evaluate AI efficacy by 57% of respondents
False positive and negative rates are the No. 1 way that organizations reported that they evaluate the efficacy of AI in security, named by 66% of respondents
77% of respondents reported that one or more of those vendors had overhyped their AI performance or are underdelivering on their promises
The top three most common security use cases for AI are endpoint security (52%), basic vulnerability scanning (47%), and antivirus/anti-malware (40%)
56% cited data protection as a security function where AI will provide the most value in the next 3 years
83% of CISOs place significantly higher priority on AI data usage governance.
Just over half of respondents said that they regularly disable AI functionality in some or all security tooling due to a range of considerations
About 16% of security teams say their use of AI has been very beneficial and have made it a core part of their program
35% of enterprises are just beginning their AI journey.
90% of surveyed executives expect to scale, optimise, or innovate with AI within the next two years.
84% of organizations say a lack of transparency in applying AI applications within business processes is causing regulatory compliance issues.
66% of organisations expect AI to have the most significant impact on cybersecurity in the year to come, but only 37% report having processes in place to assess the security of AI tools before deployment.
54% of enterprises report engaging in multiple AI deployments.
85% of organizations face challenges in scaling and operationalizing AI across their business.