78% of IT and cybersecurity decision-makers at enterprises say AI delivers greater financial return than automation.

87% of enterprises have deployed AI and automation in security operations simultaneously.

92% of IT and cybersecurity decision-makers at enterprises say automation has met or exceeded operational expectations in security operations.

AI-driven detection achieves 92.4% accuracy compared to 67% accuracy for human analysts alone.

57% of C-suite executives believe their organization consistently meets remediation SLAs, yet only 15% of security practitioners agree.

60% of security practitioners perform triaging of alerts as a top weekly activity.

46% of security practitioners spend time each week validating exploitability.

53% of security practitioners spend time each week coordinating fixes.

51% of organizations say AI is effective in reducing the time to detect anomalies or emerging threats.

30% of all bug bounty submissions are invalid or low-value "noise."

57% of organizations say AI frees analyst bandwidth for higher-priority work.

Organizations receive an average of 4,330 security alerts daily, but only 37% are detected and investigated.

For 25% of organizations, manual triage requires 214 hours per week, equivalent to 5.3 full-time employees.

The median security team spends 20 minutes dismissing a single junk alert.

Organizations experienced an average of 16 cyberattacks in the past 12 months.

43% of a security team's investigation time is consumed by manual context gathering.

57% of organizations with a SOC are already using AI within security operations to reduce case complexity, automate documentation, and improve collaboration.

62% of organizations have adopted AI in some capacity.

52% of organizations say human analysts are highly effective as the final line of defense in AI-powered SOC environments.

27% of security leaders in Japan report that AI is already improving security operations.