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

Benefits of AI cloud use include Human augmentation (44%), Improved data protection (42%), and Strengthened threat detection and response capabilities (38%).

80% of healthcare leaders are confident in their teams’ ability to stop AI-powered cyberattacks.

Technologies anticipated to have the greatest impact on cloud security in the next three years: AI and ML-driven security analytics (27%), Open source cloud security tools and technologies (17%), Automated threat intelligence and response (16%).

More than 50% of enterprises are using AI to help clearly define data retention and sanitization.

83% of enterprises have deployed some form of AI.

Only 6% of organizations have a defined AI TRiSM (Trust, Risk, and Security Management) framework.

69% of organizations cite AI-powered data leaks as their top security concern in 2025.

Enterprise PCs are logging millions of visits to popular generative AI platforms. Thousands of these visits are specifically landing on DeepSeek.

Only 6% of organizations have a defined AI TRiSM (Trust, Risk, and Security Management) framework.

In the financial services sector, only 38% of firms have AI-specific data protection measures in place.

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.

97% of enterprises who have deployed AI have also upgraded data center assets.

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

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

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

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