49% have long-term roadmaps for automation.

19% of security teams rely almost entirely on manual processes.

Only 16.2% of enterprise data input into AI tools is destined for enterprise-ready, low-risk alternatives.

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

5.5% of AI-generated outputs appear in IT and security tools.

30% of organizations are considering implementing AI.

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

Only 15% of organizations deployed their most recent automation in under a month.

44% of organizations say it’s difficult to hire for automation and AI roles.

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

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

71% of executives report AI-driven productivity gains.

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

37% of organizations report workforce reductions tied to automation.

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

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

Among analysts, only 10% trust in AI autonomy.

Asia Pacific and Japan (APJ) reported 46% productivity gains after adopting AI.

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

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