66% of IT leaders view AI-generated attacks as the most significant threat to data security, surpassing ransomware at 50%.

29% of organizations reported that auditors now require proof of data security and privacy in AI-based systems.

23% of organizations admitted to having no controls for AI prompts or outputs.

7% of organizations reported having a dedicated AI governance team.

13% of organizations reported having strong visibility into how AI systems handle sensitive data.

76% of respondents reported that autonomous AI agents are the hardest systems to secure.

57% of organizations reported lacking the ability to block risky AI actions in real time.

Canada and the United States reported the highest percentages of Confidential Computing services in full production, at 26% and 24%, respectively.

66% of organizations reported catching AI tools over-accessing sensitive information.

84% of organizations identify attestation validation as a significant adoption challenge for Confidential Computing.

11% of organizations reported feeling prepared to meet emerging regulatory requirements.

75% of organizations globally are adopting Confidential Computing.

26% of organizations place the insider risk function within a dedicated Data Protection or Data Security team.

49% of respondents surveyed need significant skill improvement in data security.

66% of companies have dedicated employees for data security.

51% of respondents surveyed have expert-level skill in data security.

97% of respondents indicated that Data security requires significant or moderate improvement.

97% of employees recognizes that education in AI safety and data security is important for employees in the workplace.

Only 63% of employees have received company-advised or mandated training in AI safety and data security.

93% of non-managerial staff recognize the importance of AI safety and data security training.