AI
Cybersecurity statistics about ai
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Concerns about AI's accuracy (79%) continue to slow adoption.
20% of AI implementations have caused operational disruptions.
Concerns about security risks (78%) continue to slow AI adoption.
The majority (73%) of sysadmins still report no requirement for AI use within their organisations.
45% of sysadmins now know how to use AI. This is up from 34% last year.
Current implementation trends show AI operational use expanding in troubleshooting (41%) and log analysis (35%).
70% of sysadmins are actively seeking AI-related training.
Only 22% of sysadmins say their organizations require AI use. This is up from 18% in 2024.
As AI usage expands, reports of AI falling short include troubleshooting (30%) and log analysis (12%).
Current implementation trends show AI operational use expanding in troubleshooting (41%) and log analysis (35%).
More sensitive functions remain largely untouched by AI implementation, such as SSO/password management (2%) and file management (5%).
Concerns about loss of control (60%) continue to slow AI adoption.
75% of analysts indicate that AI tools are already improving their job satisfaction by reducing alert fatigue and automating repetitive triage tasks.
46% of respondents at investment adviser firms reported increased compliance testing around AI—up from 32% last year, but 44% of firms that have adopted AI tools have no formal testing or validation of the outputs from their AI tools.
96% of leaders report they have no plans to reduce headcount as AI adoption accelerates.
63% of analysts state that AI is improving the accuracy of investigations. This figure rises to 69% among daily AI users regarding improved investigation accuracy.
57% of investent adviser firms list AI usage as a hot compliance topic.
Over the next 3–5 years, both leaders and analysts expect autonomous SOC operations to become the norm
100% of security professionals—including both leaders and analysts—state that implementing AI in the Security Operations Centre (SOC) is their top business objective.
Rural healthcare organisations trail urban ones by 22% in adopting AI-based threat detection.