Data Analytics

What Is Data Sovereignty in Financial Services?

Data sovereignty has direct implications for regulatory compliance, legal authority and risk management for financial institutions.

BizTech Staff

As financial institutions accelerate cloud adoption and deploy artificial intelligence tools, data sovereignty is emerging as a foundational concern for IT and compliance leaders.

At its core, data sovereignty is about control — specifically, who has the legal authority over institutional and customer data. Amazon Web Services defines it this way: “Data sovereignty refers to data being subject to the laws and regulations of its physical location. This can mean data in storage, processing, or transmission, regardless of the physical location of an organization.”

Banks, insurers and investment firms manage highly sensitive data — account records, transaction histories and personally identifiable information — under strict regulatory frameworks including the Gramm-Leach-Bliley Act (GLBA), the Payment Card Industry Data Security Standard (PCI DSS) and, increasingly, the European Union’s Digital Operational Resilience Act (DORA). But as data moves into cloud platforms and distributed systems, it may become subject to multiple jurisdictions simultaneously. The U.S. Clarifying Lawful Overseas Use of Data (CLOUD) Act, for example, allows governments to assert legal access to data held by service providers regardless of where that data is physically stored.

Click the banner below to explore the right cloud environment for your organization.

Data Sovereignty vs. Data Residency vs. Data Localization

“Data residency is a requirement for data to be held in a specific country or jurisdiction,” says Sushila Nair, CEO of Cybernetic and president of ISACA’s Greater Washington, D.C. chapter. “Data localization means it needs to be held locally in-country.”

These are primarily requirements about where data is stored, but they don’t fully address sovereignty, which is about legal jurisdiction and authority: which laws apply and who can compel access. Even data stored entirely within the United States may be subject to foreign legal demands if the cloud provider operates globally. A firm may believe it is meeting GLBA or PCI DSS requirements while remaining exposed to jurisdictional risk through its providers.

DISCOVER: See how artificial intelligence is driving a new era of digital transformation in banking.

Why Data Sovereignty Matters for Financial Institutions

“This data was collected for specific purposes under specific legal authority,” Nair says. “Citizens have a reasonable expectation that it will be used only for those purposes and governed by the legal framework of the jurisdiction that collected it.”

According to IBM’s 2024 Cost of a Data Breach Report, the financial industry had the second-highest average breach cost at $6.08 million — underscoring the stakes of any gap in data governance. With DORA now in effect for EU-market participants, global financial institutions face overlapping sovereignty obligations across jurisdictions.

For financial CIOs and CISOs, this creates a dual challenge: ensuring compliance with existing regulations while managing emerging cross-border jurisdictional risks. Procurement and contract strategy must reflect these realities, with contractual protections covering access controls, legal jurisdiction and data handling practices.

What Challenges Does AI Pose for Data Sovereignty?

“Gen AI is especially complex because it doesn’t function like simple data,” Nair says. “Questions about sovereignty occur at multiple points — training time, fine-tuning time, deployment time and inference time.”

AI systems include not just models but also supporting components — vector databases, inference logs — all of which may contain sensitive financial data subject to overlapping sovereignty claims. “The AI was designed for capability, not for the kind of data traceability that sovereignty frameworks require,” Nair notes. Financial institutions deploying AI for fraud detection, credit risk or customer personalization must incorporate sovereignty considerations into AI governance from the start.

Click the banner below to subscribe to our newsletter for the latest financial services IT insights.

How Financial Institutions Can Build a Data Sovereignty Framework

Nair outlines a practical starting point: Build a sovereign data inventory — a living document mapping every major data set to its origin authority, governing frameworks, sensitivity classification and regulatory applicability (GLBA, PCI DSS, DORA, state privacy laws).

From there, conduct a jurisdictional threat assessment focused on scenarios in which a legal order could assert authority against the firm’s interests, and establish sovereign data principles including purpose limitation and “sovereignty by design.” Contractual protections with cloud and AI providers must explicitly address access controls and legal jurisdiction, with clear governance roles assigned internally to ensure accountability.

Finally, treat data sovereignty as a continuous program. Monitoring evolving regulations such as DORA and state-level privacy laws is essential to maintaining control in a rapidly shifting landscape.

tdub303/Getty Images