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

Nearly 55% of organizations are unprepared for AI regulatory compliance.

Nearly half (47%) of organizations have no AI-specific security controls in place.

Enterprises upgrading endpoint devices for AI are upgrading an average of 25% of those devices.

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

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

41% of healthcare executives believe AI-powered threats will happen.

Just over a fifth (slightly over 20%) of enterprises said that AI is making compliance more difficult.

Almost 40% of organizations admit they lack the tools to protect AI-accessible data.

83% of enterprises have deployed some form of AI.

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

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%).

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

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

48% of retailers lack visibility into how AI models handle customer data.

42% of technology companies are operating without any AI risk management strategy.

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.