15% of enterprises report that 76–100% of AI agents have defined ownership.

12% of organizations actively using, piloting, or exploring AI say AI is embedded directly within the flow of work.

46% of organizations cite data format issues as a top data challenge.

39% of organizations say their unstructured data is somewhat or fully prepared for AI use.

In some organizations, business users outnumber professional developers by as much as 10 to 1.

67% of enterprises allocate a budget for securing business-built applications and AI agents, and they expect that budget to grow by 15% in the coming year.

54% of organizations cite data silos as a top data challenge limiting AI adoption.

29% of enterprises prioritize risk management, 28% prioritize monitoring, and 19% prioritize permission control for AI agents.

41% of enterprises say discovery of unknown AI agents happened multiple times in the past year.

43% of enterprises report operational disruption from AI agent-related incidents.

31% of enterprises have formally adopted a governance policy for AI agent usage.

50% of enterprises have at least partially documented governance policies for AI agent usage.

30% of enterprises name AI governance and risk management as their top AI security challenge.

55% of teams at enterprises report that AI has met expectations in security operations.

29% of enterprises report transitions between teams or tools as a meaningful source of workflow delay.

39% of enterprises identify investigation and analysis as a top bottleneck in workflows.

21% of managers at enterprises report being very confident in AI’s outputs.

67% of C-suite leaders at enterprises report being very confident in AI’s outputs.

On average, there are 4 business builders for every professional software developer in enterprises.

66% of enterprises have clear guardrails for defining AI agent boundaries.