Confidence in data security falls to 40% when data passes through third-party provider networks.

83% of enterprise leaders agree that reducing third-party network hops increases security.

Data security is the single biggest network concern for enterprises, cited by 35% of leaders.

56% of enterprise leaders classify AI-related risks to their critical data as moderate to extreme.

64% of enterprise leaders in the UK view AI as posing little or no threat to networks.

48% of enterprise leaders are not fully confident they could demonstrate compliance with data protection regulations.

70% of enterprise leaders use real-time alerts to secure data.

38% of New Yorkers reported they have already stopped using a service because they did not trust it to protect their data.

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.

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

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.

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

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

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

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

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

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