96% of IT executives prefer deploying a useful AI tool over the newest Large Language Model (LLM), emphasizing practical results.

92% of nonprofit funders expressed concerns about how AI might use nonprofit data.

82% of funders advise nonprofits to prioritize AI data quality and security.

39% of IT executives expect agentic AI to create upward mobility for all employees, not just technical specialists.

73% of IT executives admit their organizations are unprepared for the cultural disruption that agentic AI will bring.

91% of IT executives at U.S. companies with over $1 billion in revenue credit non-technical employees with driving agentic AI initiatives.

78% of IT executives report that agentic AI has significantly or completely reshaped business processes and decision-making.

78% of IT executives report that the most successful agentic AI projects originated from support staff addressing persistent challenges.

98% agree that native security features are among the most important criteria when selecting third-party AI solutions.

38% plan to deploy AI agents within Security Operations Centers (SOCs) in the coming year.

82% of CISOs say they are under pressure from executives or boards to reduce staff using AI.

97% of organizations are using or piloting AI coding assistants.

30% of organizations state that AI now creates the majority of code in their organizations.

83% of global cybersecurity professionals expect AI to benefit cybersecurity more than it will benefit cybercrime in the next three years.

100% of organizations plan to invest more of their budget in AI-related security initiatives in the next 12 months.

81% of organizations lack full visibility into how and where AI is being used across the software development lifecycle.

72% of organizations believe that AI leads to faster time to market.

52% of organizations lack a formal AI governance framework.

78% of U.S. CISOs expect AI to create a moderate or significant amount of new IT or security work for their teams due to AI-related security risks and vulnerabilities.

Two-thirds (65%) of organizations have already deployed AI-enhanced data security capabilities to classify data.