Over half of enterprises are already using Agentic AI.

76% of enterprises have experienced security incidents involving LLM prompt injection.

74% of security practitioners believe that AI sprawl will significantly exceed the risks associated with API sprawl.

74% of security leaders believe that developers view security as a barrier to AI innovation.

62% of security practitioners report having no visibility into the usage of large language models (LLMs) within their organizations.

35% of leaders cite integration challenges as a top barrier to realizing ROI from AI.

62% of security practitioners believe that developers are not taking responsibility for securing AI-native applications.

61% of new enterprise applications are designed with AI components in mind as of 2025.

80% of enterprises reported an improved cybersecurity posture as a result of AI adoption.

41% of organizations rank expanding AI usage and expertise as the top improvement area.

64% of organizations report that AI and automation have increased their focus on the basics of cyber hygiene.

75% of security practitioners believe that shadow AI will surpass the risks previously posed by shadow IT in 2025.

Enterprises are dedicating one-third of their cybersecurity budgets to AI.

84% of organizations say AI and automation enhance cyber hygiene.

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

68% of companies have already created new roles dedicated to agentic AI management.

83% of nonprofit funders advise ensuring AI transparency in decision-making.

91% of organizations plan to implement AI in their technology stack this year, representing a 12-percentage-point increase year-over-year.

57% of leaders are now tracking ROI from AI through increased output, 53% through process reinvention, and 47% through the creation of new capabilities.

Meeting regulatory requirements is cited as a key challenge to using AI by 30% of nonprofit funders.