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.

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

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.

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

45% of organizations say their AI projects are delivering the outcomes they expected.

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

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

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

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.

30% of enterprises report increased trust in AI since the previous RSA Conference.

94% of organizations say well-connected data, processes, and applications are highly important to successful AI adoption.

27% of organizations say data, processes, and applications are well connected in their organization today.

65% of organizations say their structured data is somewhat or fully prepared for AI use.

19% of enterprises identify unclear code provenance as a top anticipated risk.