Of enterprises that have deployed AI, 98% have upgraded endpoint devices.

Only 29% of healthcare executives say they are prepared for AI-powered threats.

28% of healthcare executives say they are likely to invest in generative AI for social engineering attacks.

79% of organisations use AI technologies to monitor and manage cloud security.

Nearly two-thirds (64%) of organizations lack full visibility into their AI risks.

In healthcare, 52% of organizations cite compliance with AI regulations as a major challenge.

38% of respondents were unable to differentiate between machine learning and deep learning.

86% of organizations have expanded or increased their use of AI within Security Operations (SecOps).

Nearly 70% of security professionals believe AI also contributes to burnout.

AI saves security teams an average of 12 hours per week on manual processes.

95% of manufacturers have invested in, or plan to invest in, AI/ML over the next five years.

Two-thirds of respondents were confused about fundamental AI definitions.

Nearly three-quarters (72%) of organizations have revised their cybersecurity strategies over the past year due to AI.

82% of organizations say they have shifted toward a prevention-first security strategy in response to AI-powered attacks.

76% of SecOps teams state that AI makes their roles easier.

Manufacturers investing in generative and causal AI increased 12% year-over-year.

37% of security professionals fear AI-related regulations are a financial penalty waiting to happen.

32% of security professionals cite difficulties in keeping up with increasing AI-related policies.

49% of manufacturers planning to use AI for cybersecurity in 2025. This is up from 40% in 2024 for using AI for cybersecurity

The last two years have seen 150% year-over-year growth in AI-related incidents, with a significant inflection point coinciding with widespread cloud adoption in the late 2010s/early 2020s and the 2022 release of ChatGPT.