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

62% of security practitioners report that their developers lack the necessary time to implement comprehensive AI-native security.

75% of security practitioners indicate that AI applications evolve faster than security measures can keep up.

Over half of enterprises are already using Agentic AI.

37% of consumers worldwide identified the use of artificial intelligence in sophisticated scams, such as deepfakes, as their top concern in 2025.

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

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

98% of enterprises feel confident in their ability to distinguish between human and AI agents.

71% of enterprises state it is critical to urgently develop the capability to distinguish between human and AI agents.

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

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

70% of enterprises warn that Agentic AI will create fundamentally new security risks.

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

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

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

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

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

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

82% of security practitioners consider AI-native applications to be the new target for cybercriminals.

75% of organizations are investing in AI for cybersecurity, more than any other AI capability.