Report by Fortanix
State of Enterprise AI Deployment Report
Key Findings
38% of AI leaders say advanced infrastructure security such as Confidential Computing would increase their confidence in deploying AI on sensitive data.
61% of organizations in regulated industries send sensitive data to public cloud AI services.
59% of organizations in regulated industries have delayed an AI project in the past year due to data security or privacy concerns.
41% of organizations in regulated industries have completely blocked an AI deployment because of security concerns.
46% of AI leaders cite regulatory compliance as the single biggest obstacle to deploying AI on sensitive data.
64% of organizations in regulated industries have deployed closed-weight frontier AI models on-premises.
97% of AI leaders are at least somewhat likely to adopt leading AI models if those models are securely available on-premises.
95% of AI leaders say sovereign AI is important or critically important to their AI strategy.
44% of AI leaders describe themselves as very confident that data is protected during AI inference.
52% of AI leaders describe themselves as only somewhat confident that data is protected during AI inference.
93% of AI leaders understand that traditional encryption does not protect data while it is being processed by AI.
Nearly 40% of AI leaders describe themselves as very concerned about exposing proprietary prompts, models or intellectual property to AI infrastructure providers.