70% of organizations experience at least one identity-related security incident.

66% of IT leaders cite data infrastructure and data quality issues as barriers to agentic AI adoption

80% of IT leaders say using enterprise data to drive AI-based systems is a top business priority

88% of IT leaders say data streaming platforms help unblock agentic AI progress by making data more trustworthy, contextualised and discoverable

52% of security professionals say threat intelligence helps inform decisions but still requires significant human judgement.

16% of U.S. mid-market enterprise IT leaders cite integration complexity as the top barrier to scaling AI.

10% of U.S. mid-market enterprise IT leaders cite lack of internal expertise as the top barrier to scaling AI.

50% of U.S. mid-market enterprise IT leaders expect AI to have a positive impact on software development and engineering productivity.

96% of U.S. mid-market enterprise IT leaders are confident their organization will realize measurable ROI from AI within the next 24 months.

63% of U.S. mid-market enterprise IT leaders report having formally assessed whether sensitive company or customer data is being entered into AI tools and implemented controls.

31% of U.S. mid-market enterprise IT leaders reported an AI-related near-miss in the past 12 months.

Roughly 73% of U.S. mid-market enterprise IT leaders have either confirmed an AI-related security incident or experienced a near-miss in the past 12 months.

32% of U.S. mid-market enterprise IT leaders expect AI to have a positive impact on cybersecurity operations.

82% of German leaders say accelerating AI development takes priority over establishing data controls.

32% of organizations say market expansion triggers action on data sovereignty.

8% of CTOs, CISOs, and CIOs describe their organization's AI governance as strong.

90% of CTOs, CISOs, and CIOs say business pressure to enable AI building has increased in the past 12 months.

AI workloads drive a 93% increase in log volume over the last 12 months.

80% of senior technology leaders say turning telemetry into actionable insights is negatively impacting customer experience and delaying AI initiatives.

Organizations exclude an average of 86% of log data to manage costs and system limitations.