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 381-400 of 1475 results
99% of respondents in AI governance roles report taking human-monitored measures to validate AI decisions.
By 2030, 50% of organizations expect to have adopted AI-powered data encryption, risk assessments, and threat detection capabilities.
52% of employees in the education industry have received training on AI safety and data security.
43% of non-managers in the global workforce are very confident with AI tools.
36% of respondents are concerned about data privacy related to AI usage.
73% of workers in the US are very confident using AI tools.
45% of respondents in Japan identify optimizing cloud security as a top security convergence goal.
46% of organizations reported that their organization uses AI for security operations.
30% of organizations use AI for DevOps and software delivery.
67% of employees believe that using AI agents in their day-to-day role will make their job easier.
23% of organizations adopting AI identify regulatory compliance as an area where they are least prepared to address threats.
14% of organizations identify orchestration frameworks as a Shadow AI concern.
Only 13% of organizations rank model sourcing and provenance as concerns regarding AI supply chain risk.
Over 31% of organizations are planning to allocate their security budgets to AI supply chain security over the next 12 months.
50% of enterprise security and business leaders say AI tools will cause the next data breach.
Infrastructure teams are responsible for 15% of AI security within organizations.
70% of organizations adopting AI are lacking optimized governance.
23% of respondents in Germany had AI tools provided by their IT team.
38% of organizations identify runtime as their most vulnerable phase in AI supply chain security.
49% of employees felt empowered by AI use.