51% of unknown AI agents emerge in internal automation or scripting environments.

35% of enterprises report financial losses from AI agent-related incidents.

21% of enterprises say their trust in AI has decreased since the previous RSA Conference.

49% of enterprises report their trust in AI is unchanged since the previous RSA Conference.

70% of enterprises say their trust in AI has not increased since the previous RSA Conference.

44% of enterprises report low or no confidence in their ability to detect AI agent-specific threats.

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.

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

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

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

44% of enterprises identify decision-making and approvals as a top bottleneck in workflows.

Enterprises can track only 44% of the AI tools handling sensitive company and user data.

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

39% of organizations actively using, piloting, or exploring AI say most AI-enabled workflows still rely on separate, standalone tools.

49% of enterprises feel slightly or not at all prepared for upcoming AI-related regulations.

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

53% of enterprises operate AI agents autonomously for low-risk tasks while applying human review for higher-risk actions.

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

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

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