Automation
We've curated 124 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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APAC organizations report 31% having a fully consolidated view of exposure and 27% using continuous, automated validation.
56% say AI and automation would most help in understanding which threats are relevant to their specific environment.
51% of North American organizations use threat intelligence within a continuous, automated validation process.
Only 38% of organizations use threat intelligence within a continuous, fully automated validation process.
95% of organizations agree greater automation would improve their confidence that teams are focused on the most important risks.
One-third of IT and business leaders anticipate workload reductions greater than 50% from automated remediation.
Germany leads surveyed countries with 58% adoption of automated validation.
EMEA organizations report 37% having a fully consolidated view of exposure and 35% using continuous, automated validation.
More than 85% of IT and business leaders expect automated remediation to reduce workloads.
54% say AI and automation would most help in validating whether exposures are realistically exploitable.
59% say AI and automation would most help detect vulnerabilities, misconfigurations, and exposures.
88% of security teams agree that without greater automation, they cannot keep up with the volume of risks they must assess.
Security teams require mid-to-high levels of manual intervention for detection, at 42%.
78% of organizations experienced fully automated scanning tools missing critical vulnerabilities and returning false negatives.
47% of organizations favor automation for low-risk environments, up 22 percentage points.
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.
Only 31% of organizations operate a centralized, highly automated security ecosystem.
45% of IT professionals plan to use AI to automate patch deployment within the next 24 months.