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Financial data sovereignty and privacy for AI force a rethink of multicloud connectivity

Financial institutions face tightening data sovereignty and privacy rules, rising AI demand and multicloud sprawl. Drawing on a survey of 1,600-plus enterprise IT leaders, this article outlines how they are addressing these challenges at the network infrastructure level and distills the insights into practical steps: map jurisdictions, standardize security and prioritize private connectivity. Outcome: stronger compliance, predictable costs and resilient performance for fintech data compliance at scale.

What you'll find inside:

  • Learn how leaders design AI-ready infrastructure that meets privacy and sovereignty mandates.
  • Discover network-architecture levers for unifying security policies across clouds and reducing attack surfaces.
  • Understand how cost uncertainty drivers, like cloud data egress, can be tamed with private connectivity.
  • See how dedicated low-latency hybrid multicloud links improve reliability for trading, payments and mobile banking.
  • Find a high-level framework for a financial-services connectivity infrastructure that supports AI with data sovereignty and privacy as the default.
Everything related to a data center or the hyperscalers has to be changed to accommodate the storage and compute needs for AI.
Senior VP at a cloud provider business unit serving financial services customers