The top three priority areas for deploying agentic AI solutions are cloud security (39%), data protection (39%), and cyber defence and operations (38%).

Despite near-universal adoption of Data Loss Prevention (DLP) tools, one-third say their data remains inadequately protected.

Less than 10% of enterprises have implemented data protection policies and controls for AI applications.

71% of financial services firms noted data protection concerns are driven by the volume of sensitive data required to support AI models.

65% of financial services firms cite data protection as the primary barrier to AI adoption.

64% of respondents worry about inadvertently sharing sensitive information publicly or with competitors.

Among those aware of their country's privacy laws, 81% feel confident in their ability to protect their data, compared to just 44% of those unaware of such laws.

91% of organisations trust global providers for better data protection, which is up five percentage points year-over-year.

93% of digital banking Americans indicated that protecting data from financial fraudsters and hackers was important or very important to them.

91% of digital banking Americans indicated that protecting data from other unauthorized third parties was important or very important to them

56% cited data protection as a security function where AI will provide the most value in the next 3 years