33% are actively building their automation strategies

83.8% of enterprise data input into AI tools flows to platforms classified as medium, high, or critical risk.

94% of energy firms are pushing to adopt AI-driven cybersecurity due to revenue losses and disruptions caused by ransomware and phishing.

End user engagement with DeepSeek through its web interface surged dramatically following the R1 release, settling at 672.8% growth relative to pre-release baselines by the end of the first seven weeks.

45% of organizations took up to three months to implement their most recent automation.

HR and employee records account for 4.8% of sensitive data going into AI.

Traditional integrated development environments (IDEs) experienced a 23.7% decline in usage when AI alternatives become available

Manual work still dominates daily security operations for many teams, with 35% reporting being overwhelmed with repetitive tasks.

Cyberhaven's assessment of over 700 AI tools found that a troubling 71.7% fall into high or critical risk categories.

Among analysts, only 10% trust in AI autonomy.

The United Kingdom, Ireland and Europe (UKIE) reported 60% productivity gains after adopting AI.

Only 22% of analysts agree that AI has significantly improved productivity across their security teams.

More than half of surveyed organizations have restructured their teams due to AI implementation.

Organizations in India, Middle East, Turkey, and Africa (IMETA) report the highest productivity gains (81%) after adopting AI.

Only 29% of teams trust AI to act on its own.

37% of organizations report workforce reductions tied to automation.

18% of organizations are expanding hiring for roles focused on AI governance, automation oversight, and data protection.

71% of executives report AI-driven productivity gains.

56% of security teams report that AI has improved productivity in threat detection, investigation, and response (TDIR).

44% of North American organizations report improvements in productivity due to AI.