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.

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

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.

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

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.

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

66% of companies have dedicated employees for data security.

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

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

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

22% of employees have had no training in AI safety and data security at all, and have not sought to educate themselves on it either.

80% of employees in the financial services industry have received training on AI safety and data security.