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

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

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

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.

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

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

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

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

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

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

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

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

Over half of enterprises are already using Agentic AI.

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.

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

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

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.