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.

68% of organizations prioritize broader digital transformation initiatives over establishing strong data controls.

38% of organizations identify public cloud environments as a major visibility gap.

90% of organizations report high confidence in established frameworks such as GDPR.

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

43% of CTOs, CISOs, and CIOs are not very confident or not at all confident they have full visibility into all production internal tools.

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.

Technology teams spend an average of nearly $2.5 million annually on logging solutions.

Nearly three-quarters of senior technology leaders say AI workloads require a platform-based approach to log management.

More than a quarter of organizations burn engineering cycles just keeping multiple observability tools running across environments.

69% of C-suite leaders prioritize speed over security when using AI tools

37% of frontline employees prioritize speed over security when using AI tools