84% of organizations now use AI in the cloud.

50% of respondents said the specific needs of AI workloads are the reason why AI workloads are in a combination of private cloud and on-premises environments.

56.3% of North American (NA) firms have no plans to introduce AI for compliance in the next twelve months.

56% of respondents said enhanced security is the reason why AI workloads are in a combination of private cloud and on-premises environments.

35% of respondents said cost is the reason why AI workloads are in a combination of private cloud and on-premises environments.

62% of organizations have at least one vulnerable AI package.

More than half of all AI workloads already reside in a combination of private cloud and on-premises environments.

56.3% of North American (NA) firms have no plans to introduce AI for compliance in the next twelve months.

83% of enterprises have deployed some form of AI.

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

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

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

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

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

A quarter (25%) of enterprises report that AI has increased the amount of redundant data they hold.

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

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

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

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

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