58% of UK organizations cite preventing data breaches as the primary reason for data sovereignty efforts.

45% of UK organizations identify data used for AI and analytics as their biggest blind spot, the highest rate in Europe.

38% of organizations in MEA report reliance on third-party ecosystems and vendors, increasing supply-chain blind spots.

44% of organizations cite reducing the risk of data breaches as a top motivator for data sovereignty action.

43% of organizations cite gaining greater control over data as a top motivator for data sovereignty action.

33% of organizations say internal audits and compliance reviews trigger action on data sovereignty.

34% of organizations identify cross-border data flows as a major visibility gap.

33% of organizations identify third-party vendors as a major visibility gap.

93% of CTOs, CISOs, and CIOs are concerned about vibe-coded tools running in production.

37% of CTOs, CISOs, and CIOs describe their organization's AI governance as uneven across teams.

10% of CTOs, CISOs, and CIOs describe their organization's AI governance as reactive.

59% of CTOs, CISOs, and CIOs cannot confirm whether their organizations have had an AI-caused production incident.

Organizations use an average of seven different tools to manage logs and telemetry.

Roughly a third of organizations pay for redundant or underutilized observability features.

48% of employees say they would continue using AI even if it were explicitly banned

62% of Gen Z employees are actively hiding their AI use at work

Only 14% of security leaders are very confident in their company's ability to mitigate domain attacks.

57% of security leaders use AI-based monitoring and enforcement solutions.

Top AI use cases for cybersecurity are automating scanning and testing (50%), predictive risk analysis (48%), and threat detection (38%).

57% of cybersecurity professionals who considered leaving their role in the past 18 months have considered leaving cybersecurity entirely.