Nutanix survey flags shadow AI, data sovereignty risks rising in healthcare, finance, public sector
NTNX•Public sector sees mission risk from unvetted AI use
In the public sector, 91% cited unvetted AI use as a severe mission risk, and 73% said on-premises infrastructure was not ready for complex AI workloads.
Containerization emerged as a key scaling lever, with 90% of financial services leaders citing AI-driven adoption acceleration and 87% of public sector leaders expecting increased reliance.
Survey highlights sector exposure to shadow AI and data sovereignty risks
Nutanix industry analysis flagged healthcare, financial services, and the public sector as most exposed to shadow AI and data sovereignty breaches amid faster enterprise AI adoption.
- Healthcare, financial services, and the public sector were identified as the most exposed sectors.
- The analysis pointed to rising risk from unauthorized AI use and data sovereignty concerns as enterprises adopt AI more quickly.
Healthcare and financial services cite infrastructure and governance concerns
In healthcare, 72% ranked data sovereignty as a top infrastructure priority, while 83% viewed unauthorized shadow AI tools as a critical business risk.
In financial services, 86% saw unmanaged shadow AI as a severe risk, and 79% prioritized data sovereignty, limiting public cloud use to 62%.
