Approximately 23% of organizations have visibility into about half of their OT environment.

19% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland have experienced AI-driven identity harm, rising to 30% among Gen Z.

72% of organizations prioritize machine identity at scale when evaluating identity infrastructure.

53% of victims with no financial loss reported a resolution.

Understaffing in European cybersecurity roles is 48%, which is 14 percentage points higher than in the rest of the world.

82% of organizations experienced at least one production failure tied to AI-generated code in the past six months.

5% of organizations restrict vibe coding to non-production environments.

61% of leaders rate AI-generated code as somewhat higher quality, 33% rate it as much higher, and 2% perceive it as lower quality.

24% of organizations reported intrusions in both IT and OT systems, down from 60% in 2025 and the lowest since 2022.

13% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland have created a family codeword to guard against likeness theft.

52,185 threats were hosted on domains that enterprise security stacks are configured to trust, including Google Drive, Dropbox, and SharePoint.

96% of developers acknowledge having AI tooling integrated in their IDEs.

74% of organizations lack a unified view of sensitive data and the identities that can access it.

Account-problems scams are the highest-volume scam type, with 74% of victims sharing high-value personally identifiable information (PII).

78% of enterprise servers are reachable over SMB or WinRM, administrative protocols commonly exploited for ransomware spread and lateral movement.

Manus AI accounted for 15.6% of attributed AI site builders, Blackbox AI accounted for 14.3%, and Anything AI accounted for 9.8% of attributed builders.

One in three daily AI users in the surveyed countries say it is okay to generate explicit images of someone without their consent.

Teams with full governance for AI coding assistants in place are 55% more likely to report a major improvement in efficiency.

64% of development teams express moderate or extreme concern about AI coding assistants introducing security defects or vulnerabilities.

Developers reclaim an average of eight hours per week when using AI coding assistants.