97% say GenAI security needs urgent attention; talent and infrastructure gaps could slow innovation
A new global study by Nutanix has found that nearly all financial services organizations are already deploying Generative AI (GenAI) workloads—mostly focused on customer support, content creation, and automation. However, long-term success will require deeper investment in modern infrastructure, security, and talent development.
The seventh annual Nutanix Financial Services Enterprise Cloud Index (ECI) reveals that while enthusiasm for GenAI is high, 97% of respondents admit they must do more to secure their GenAI models and applications. Moreover, 92% say their current infrastructure is inadequate to fully support cloud-native and containerized applications—critical to scaling AI initiatives.
“Containers and hybrid cloud have become strategic enablers of customer value,” said Lee Caswell, SVP of Product and Solutions Marketing at Nutanix. “They power real GenAI use cases like fraud detection and customer engagement. But as AI evolves, customers are now exploring agentic AI to unlock even broader impact across operations.”
Key findings from the report include:
- 98% face challenges moving GenAI from development to production due to a shortage of skilled personnel.
- 62% are hiring for GenAI roles, but training and upskilling remain a top priority.
- 39% expect GenAI-related losses in the short term, while 58% foresee gains within one to three years.
- 96% say GenAI is reshaping their security and compliance strategies, with 90% expressing concern about vendor-related data risks.
The survey, conducted by Vanson Bourne, covered 1,500 IT and DevOps leaders globally. It reflects a fast-changing landscape where GenAI adoption is growing—but sustainable success hinges on closing infrastructure and skills gaps.
