As organizations deploy AI workloads, concerns around digital sovereignty have intensified. Beyond data residency, sovereignty encompasses who operates and controls technology infrastructure, how data and identities are governed, where workloads run, and under whose jurisdiction AI models operate. IBM said in an official release dated January 15, 2026, that most organizations lack a destination to land, modernize, and re-host applications under sovereign control, including applications that will incorporate AI capabilities, and have continuous compliance reporting capabilities.
According to Gartner, more than 75 percent of enterprises are expected to adopt a digital sovereignty strategy by 2030, often centered on sovereign cloud approaches. IBM positions Sovereign Core as a response to this shift, enabling organizations to meet regulatory requirements without sacrificing innovation.
“Businesses are facing growing pressure to innovate while meeting tightening regulatory requirements and recognizing the importance of controlling how sensitive data and AI workloads are accessed and operated,” said Priya Srinivasan, General Manager, IBM Software Products. “This shift is creating an urgent need for sovereign solutions that deliver AI-ready environments. With IBM Sovereign Core, we are helping clients move faster and with confidence—combining openness, compliance, and operational autonomy to meet the demands of the AI era, without the need to sacrifice sovereignty requirements.”
Sovereignty Built Into the Software
IBM Sovereign Core is built on Red Hat’s open-source foundation and is designed to make sovereignty an inherent property of the software, rather than an added layer.
IBM Sovereign Core
“IBM Sovereign Core will help customers achieve verifiable sovereignty and full operational control. Sovereign Core is purpose-built software to build, deploy, and manage cloud-native and AI workloads under an organization’s own authority, within chosen jurisdictions, built on Red Hat’s open source foundation,” the company explained. Unlike approaches that layer sovereignty controls onto existing architectures, Sovereign Core makes sovereignty an inherent property of the software itself.”
The platform enables customer-operated control planes, ensuring organizations retain direct authority over deployments and configurations within their chosen jurisdictions. Identity management, authentication, and encryption keys remain within jurisdictional boundaries under customer control.
AI Workloads Under Local Governance
The software also provides continuous compliance enablement by generating and retaining audit trails, system telemetry, and operational data within the sovereign boundary. For AI workloads, Sovereign Core supports governed AI inference, allowing models to be deployed and run on local infrastructure, including GPU clusters, without exporting sensitive data to external providers.
Industry analysts say the approach addresses a critical gap in sovereign AI strategies. “The sovereign AI conversation has focused on data residency, but that’s only part of the equation,” said Sanjeev Mohan, Principal, SanjMo. “IBM Sovereign Core addresses the harder question: who controls the system, and can you prove it to regulators? IBM takes a holistic approach spanning data, operations, technology, and assurance, with continuous monitoring. As AI moves into production, that kind of ongoing accountability becomes non-negotiable.”
“AI is accelerating the pace at which sovereignty questions move from theory to daily operations,” said Erik Fish, Director of Geotechnology at Eurasia Group. “As geopolitics, regulation, and data governance increasingly converge, governments and enterprises must move while demonstrating clear control over critical data and infrastructure. The challenge is no longer a trade-off between openness and sovereignty, but governing data, access, and infrastructure amid growing regulatory and geopolitical constraints.”
European Rollout Through Strategic Partnerships
IBM said customers can deploy Sovereign Core across on-premises data centers, supported in-region cloud infrastructure, or through local IT service providers. The company is initially rolling out the solution in Europe through partnerships with Cegeka in Belgium and the Netherlands, and Computacenter in Germany, allowing service providers to offer locally operated, compliant sovereign environments.
“As organizations navigate increasingly complex compliance and regulatory requirements, we’re seeing strong demand for digital platforms and software that allows sensitive data to remain within controlled, compliant boundaries,” said Gaetan Willems, VP Cloud and Digital Platforms, Cegeka. “Partnering with IBM to offer a pre-architected solution through our in-country environment enables us to deliver enterprise-ready software to our clients, while allowing them to address local compliance standards.”
“With IBM Sovereign Core, we can focus on configuring the software to each client’s specific use cases rather than spending months piecing together disparate components and validating sovereignty controls,” said Christian Schreiner, Unit Director Cloud, Computacenter. “It can significantly accelerate our time-to-value and let us help clients who previously couldn’t consider AI solutions at all.”
IBM Sovereign Core will be available in tech preview starting in February, with general availability planned for mid-2026. IBM said additional capabilities will be introduced at general availability, noting that future plans remain subject to change.
In its official release, IBM stated that it is “a leading provider of global hybrid cloud and AI, and consulting expertise.” Indian telecom operator Bharti Airtel has a long-standing partnership with IBM, including a recent strategic collaboration to augment its newly launched Airtel Cloud.
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