Nearly half of legal leaders devote up to 40% of their workload to enterprise-wide risk and compliance.

35% of enterprises report limited or no visibility into their AI-generated code.

19% of enterprises identify agentic AI risk as their top AI security challenge.

17% of enterprises identify AI code security as their top AI security challenge.

15% of enterprises identify adversarial AI attacks as their top AI security challenge.

88% of enterprises believed AI could significantly enhance their security visibility in 2025.

82% of enterprises have unknown AI agents running in their IT infrastructure.

65% of enterprises have experienced at least one AI agent-related incident in the past 12 months.

33% of all business email compromise in higher education is lateral.

Only 21% of enterprises have formal decommissioning processes for AI agents.

In 2025, cybercriminal groups led threat activity in North America with 52%.

70% of manufacturing organizations place remote engineers at the top of the segmentation priority list.

No organizations reported experiencing zero material business impact from AI agent-related incidents.

40% of unknown AI agents emerge in SaaS tools with built-in automation.

13% of enterprises report fully autonomous AI agent models.

38% of enterprises require human approval when AI agents exceed their scope.

24% of enterprises require actions that exceed an agent's scope to be logged.

53% of enterprises use human authorization as a primary signal for governing AI agent behavior.

79% of enterprises say context-aware controls will be important or very important in the next two years.

Only 41% of IT decision-makers have significantly changed their approach to disaster recovery planning due to accelerated AI adoption.