AI
Cybersecurity statistics about ai
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70% of organizations adopting AI are lacking optimized governance.
50% of enterprise security and business leaders say AI tools will cause the next data breach.
Over 31% of organizations are planning to allocate their security budgets to AI supply chain security over the next 12 months.
Only 13% of organizations rank model sourcing and provenance as concerns regarding AI supply chain risk.
14% of organizations identify orchestration frameworks as a Shadow AI concern.
23% of organizations adopting AI identify regulatory compliance as an area where they are least prepared to address threats.
45% of respondents in Japan identify optimizing cloud security as a top security convergence goal.
73% of workers in the US are very confident using AI tools.
36% of respondents are concerned about data privacy related to AI usage.
43% of non-managers in the global workforce are very confident with AI tools.
29% of organizations consider AI capabilities as a criterion when selecting observability platforms.
41% of respondents are concerned about cybersecurity related to AI usage.
18% of organizations identify GenAI features embedded in SaaS applications as their second-highest Shadow AI concern.
Enhancing threat visibility is a security convergence goal for 31% of German organizations.
16% of the Global Workforce learned to use AI in their job role only through trial and error.
32% of respondents in Spain identify optimizing cloud security as a top security convergence goal.
26% of respondents are concerned about distrust of AI predictions/outcomes.
27% of organizations say runtime is the least defended phase in their AI security.
Only 32% of organizations operate at a managed level with measured effectiveness and reporting in AI security governance.
97% of AI users within the global workforce use AI tools weekly.