86% of enterprises are using AI-generated code in production.

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.

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.

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.

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

46% of organizations cite insufficient data management and governance as a top data challenge.

80% of enterprises were not prepared to meet software supply chain security requirements in 2024.

46% of enterprises use AI-generated code frequently or always.

Only 17% of enterprises have full visibility into their AI-generated code.

89% of enterprises are confident in their ability to secure AI-generated code.