Automation
We've curated 76 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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Only 3% of organizations have automated, machine-speed controls governing AI behavior.
92% of security professionals say automation reduces their team's mean time to respond.
77% of security professionals express some level of comfort with deploying agentic systems and allowing them to act without human review.
87% of security professionals say integrating agentic AI is a priority for their teams.
Over 60% of organizations cite automating identity lifecycle processes and scaling identity operations as their primary GenAI use cases.
Automated verification of infrastructure security surged by more than 50%.
25% of IT and security leaders say their threat detection and response process is fully automated.
92% of security professionals believe intelligent workflows would add value to their organizations.
32% of security professionals identify limited resources as an obstacle to scaling AI and automation.
77% of security teams regularly rely on AI, automation, or workflow tools.
70% of IT and security leaders say they have fully or mostly automated their threat detection and response process.
Only 12% of organizations have achieved comprehensive automated life cycle management for machine identities.
46% of respondents reported that up to 75% of banking identity verification processes are currently automated.
63% of identity threat detection and response (ITDR) plans automated identity system recovery.
64% of organizations report that AI and automation have increased their focus on the basics of cyber hygiene.
84% of organizations say AI and automation enhance cyber hygiene.
23.4% of Managed Service Providers (MSPs) identified a lack of automation for repetitive administrative and security tasks as a top pain point when managing Microsoft 365.
50% of respondents surveyed need significant skill improvement in automation and AI.
95% of respondents indicated that Automation/AI requires significant or moderate improvement.
42% of respondents surveyed have expert-level skill in automation and AI.