Automation
We've curated 112 cybersecurity statistics about Automation to help you understand how automated threat detection and response technologies are evolving in 2025, making it easier for organizations to combat cyber threats effectively and efficiently.
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Security teams require mid-to-high levels of manual intervention for detection, at 42%.
47% of organizations favor automation for low-risk environments, up 22 percentage points.
78% of organizations experienced fully automated scanning tools missing critical vulnerabilities and returning false negatives.
27% of security professionals would prioritise automating the conversion of threat intelligence into actionable priorities.
81% of senior technology leaders believe log ingestion and processing must be open and automated for real-time analysis.
60% of organizations expect analysts to shift from executing offensive security tasks to supervising autonomous workflows.
46% of IT professionals already use AI to automate patch deployment.
45% of IT professionals plan to use AI to automate patch deployment within the next 24 months.
Only 31% of organizations operate a centralized, highly automated security ecosystem.
Automation is the top patch modernization investment priority for 76% of organizations in 2026.
52% of leaders are slowed by lack of automation, nonstandard processes, and siloed decision-making.
66% of ITOps and engineering leaders are prioritizing investments in automation to mitigate the risks of human error.
71% of organizations don’t fully automate certificate renewal and monitoring across all environments.
39% of organizations actively using, piloting, or exploring AI say most AI-enabled workflows still rely on separate, standalone tools.
40% of unknown AI agents emerge in SaaS tools with built-in automation.
92% of IT and cybersecurity decision-makers at enterprises say automation has met or exceeded operational expectations in security operations.
87% of enterprises have deployed AI and automation in security operations simultaneously.
91% of enterprises experience workflow bottlenecks despite deploying AI and automation.
78% of IT and cybersecurity decision-makers at enterprises say AI delivers greater financial return than automation.
65% of IT professionals report that AI reduces manual effort.