Provable digital sovereignty: How IBM Sovereign Core with Red Hat delivers verifiable independence

Organizations are not looking for another cloud—they are looking for control and sovereignty they can prove. According to Gartner®, “...by 2030, more than 75% of all enterprises will have a digital sovereign strategy, often sovereign cloud strategies.” We find this will be driven by three converging pressures: expanding regulatory oversight requiring demonstrable operational control, rapid AI adoption across regulated sectors, and current solutions that result in high concentration risk and vendor lock-in. 

The urgency is real and immediate:

• DORA enforcement is now live, with regulators demanding proof of operational control.
• The EU AI Act risk classification requirements are forcing enterprises to demonstrate governance over AI systems.
• Vendor repricing, hardware shortages, and the rapid rise in memory costs is prompting a broader reassessment of platform economics and sovereignty strategies. 

These aren't future concerns—these are happening today. Yet existing approaches fall short: 

• Public clouds offer AI-rich capabilities but with vendor lock-in, jurisdictional exposure, and reliance on attestations rather than enforceable technical controls.
• Roll-your-own solutions provide control but are operationally heavy with limited AI integration and fragmented compliance.
• Initial attempts at sovereignty stopped at data residency. Technology stacks, operational control and authority remained external, placing systems, decision-making, and new AI capabilities outside the sovereign boundary where providers retain privileged access. 

Organizations need an operationally-feasible, supportable, and governable platform that gives them control and transparency over their technology stack as a core feature, not an additional paid “feature.”

A fundamentally different approach

To address this gap, IBM introduced IBM Sovereign Core, a new AI ready software platform built on an open source foundation that’s designed to help organizations build and operate AI and other workloads with greater control, flexibility and evidence — giving enterprises and governments authority over data, operations and technology within their sovereign boundary. 

Designed to run on customer-provided infrastructure, Sovereign Core’s open, modular architecture combines platform services, the control plane, identity and security capabilities into a single deployment model. Organizations deploy and operate their AI models, inference services, agents and application workloads, with Sovereign Core maintaining governance and control over in-region AI systems processing sensitive data. Through integrated monitoring with automated evidence generated and retained in-boundary, compliance controls are continuously enforced at runtime.

Sovereign Core is built on top of Red Hat’s comprehensive, open source based portfolio, to deliver a sovereign-by-design platform. A portfolio made up of Red Hat OpenShift for container orchestration and cloud native development, with Red Hat AI to develop and deploy AI solutions across hybrid cloud environments. This is rounded out by Red Hat Enterprise Linux for hybrid cloud infrastructure management, with Red Hat Ansible Automation Platform for automating infrastructure and application deployment. It’s anchored on 4 foundational pillars that transform digital sovereignty from a strategic goal into an architectural foundation:

1. Customer or partner operated for full operational authority

With IBM Sovereign Core, organizations maintain complete direct authority over identity, policy, workflows, and infrastructure—independent of any cloud provider. All authentication, authorization, encryption keys, and access management remain within jurisdictional boundaries under customer control. The Red Hat foundation promotes workload portability across cloud, on-premises, edge, and sovereign regions, managed from a unified console. This is backed by a sovereign support model with trusted, vetted regional experts, isolated escalation paths, and in-boundary controls. For Europe, dedicated EU sovereign support provides 24/7 in-region availability delivered exclusively by engineers legally authorized to work in the EU and operating solely within the 27 EU member states.

2. Open, flexible, and portable to eliminate vendor lock-in

Built on Red Hat's open hybrid cloud approach and open source foundations, IBM Sovereign Core provides infrastructure flexibility and optionality using Red Hat OpenShift. Organizations get workload portability, maintain provider independence, and avoid the platform dependencies that trap them in proprietary ecosystems. Pre-integrated deployment and lifecycle automation occur entirely within the sovereign boundary, protecting data and controls from external access requests. The result: complete portability and flexibility within jurisdictional boundaries and under direct control.

3. Continuous compliance evidence for provable governance

Rather than relying on contracts and attestations, IBM Sovereign Core provides automated compliance validation against global regulatory frameworks including GDPR, DORA, NIS2, and the EU AI Act. The solution delivers Day-1 compliance posture with continuous assurance, custom policy controls, and install-time proof of control. IBM Sovereign Core cryptographically verifies attestations and provenance, surfaces data drift and model delivery, and provides a bill of materials for complete action lifecycle evidence. Organizations gain audit-ready compliance for data, identity, AI behavior, and infrastructure—with automated evidence collection that mitigates legal, operational, and reputational risk.

4. Governed agentic AI and inferencing for sovereign AI control

AI turns sovereignty into a runtime requirement. Organizations must control model deployment, inference execution, and agent operations under local governance with full traceability and oversight. IBM Sovereign Core with Red Hat AI enables sovereign AI by deploying models and managing inferences at the data's edge, with model training, inference, and agentic workflows executing under sovereign authority. Through the integrated service catalog, organizations provision AI models, agents, and self-managed datastores on-demand with comprehensive traceability, telemetry, and decision logging crucial for auditing high-risk AI models. Integrating governance and compliance directly into the enterprise AI lifecycle with evidence collection in Red Hat AI, the platform observes model integrity and usage from training to inference and agent operations—across any model and any hardware.

Unified platform, simplified operations

Beyond sovereignty controls, IBM Sovereign Core unifies fragmented AI and cloud operations to lower total cost of ownership. The Red Hat open source technologies underpinning the solution deliver unified orchestration and automation, minimizing manual overhead and maximizing resource efficiency in multi-tenanted sovereign clouds. Organizations benefit from automated tenant onboarding with workload isolation on shared infrastructure, complete with quota management, metering, and chargeback.

Organizations can enable consistent, scaled inferencing across the hybrid cloud via standardized model development and deployment through a self-service portal. The integrated platform leverages validated patterns with a managed API gateway, AI tooling, and centralized resource management—providing pipelines, registry, catalog, and compute, models, and GPUs as-a-service. This drives collaboration and productivity while shifting to an always-on, verifiable governance system with continuous regulatory compliance monitoring, automated CVE enforcement, and high-fidelity signals for event-driven remediation.

Strategic autonomy as a business differentiator

With Red Hat OpenShift providing customer-operated control planes, validated "golden paths," and automated workflows with audit-ready compliance and policy enforcement, organizations gain strategic autonomy, maximized throughput, and minimal latency as business differentiators. From this open, unified platform, Red Hat AI gives teams full ownership of their AI workflows from end-to-end at any scale, in maintaining control over security, data, models, and results. Organizations build air-gapped (isolated) AI factories for fast, flexible, and efficient inferences using technologies such as vLLM and llm-d.

IBM Sovereign Core is backed by a robust partner ecosystem and an extensible catalog that provides the foundation for a fully managed "as-a-service" experience—enabling organizations to deploy a pre-certified catalog of clusters, VMs, datastores, and AI inferencing and agents within a fully sovereign environment.

The time to act is now

Sovereignty is no longer a future consideration—it is driving decisions today. Organizations are actively re-evaluating cloud strategies as AI, data, and regulation create new risk and compliance pressures. Technology leaders no longer have to choose between AI agility and regulatory compliance, they can confidently deploy a security-focused platform built for  unrestricted innovation with control and sovereignty they can prove.

Learn more about digital sovereignty and evaluate your organization's digital sovereignty readiness with this assessment tool.