56% of CFOs cite AI and automation as their top financial priority.

90% of people are worried about AI using their data without consent.

80% of consumers are worried about using AI tools.

33% of consumers say they would avoid using AI for security advice because they don't trust the answers to be accurate.

Only 41% of organizations have AI-specific data privacy policies in place.

58% of organizations say prompt or input risks (e.g., misleading, inaccurate, or harmful responses) are very or extremely difficult to minimize.

80% of companies say data privacy breaches are the top generative AI security risk.

77% of large U.S. companies are concerned about intellectual property theft as a generative AI security risk.

62% of organizations say it is difficult to minimize model and bias risks in language model development.

48% of organizations rate AI as effective in threat detection and hunting for deeper insights and reducing manual workload.

45% of organizations cite errors in AI decision rules as a top barrier to operational effectiveness.

58% of workers use two to three different AI tools, and 7% use four to six different AI tools.

42% of employees do not feel well-supported in using AI at work.

48.4% of employees have used non-approved AI tools at work, either intentionally or without knowing what their company had sanctioned.

84% of Americans are concerned that AI is making scams harder to detect.

28% of employees are using agentic AI tools that take actions on their behalf and perform multi-step tasks.

47% of boards indicate reporting on AI-driven risk needs improvement.

52% of banking customers worry that AI could mistakenly freeze their account.

40% of organizations in industrial sectors cite cybersecurity concerns as a top obstacle to AI adoption.

Only 11% of U.S. school districts have formal processes to vet AI use in edtech tools.