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

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

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

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

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

44% of companies feel very well prepared for AI-powered volumetric attacks, marking a sharp increase from 2024.

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

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.

Only 34% of developers notify security teams before starting AI projects.

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

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

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

Over half of enterprises are already using Agentic AI.

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

89% of leaders say cloud investments have made it easier to use AI.

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

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

92% of technology companies are adopting AI for support operations, compared to a 58% adoption rate in regulated industries.