As AI reaches a tipping point, organisations must rethink how they control data, models, and infrastructure in an increasingly regulated and risk-sensitive environment. Digital sovereignty is becoming essential—not just for compliance, but for trust, resilience, and competitive advantage.

Join Intel and Red Hat as we explore the key elements of sovereign AI, including the role of confidential computing in protecting data in use. We will outline a practical, high-level architecture, map sovereignty requirements to real technologies, and highlight how organisations can deploy AI across public cloud, private cloud, and on-prem environments while maintaining control.

The session will also showcase real-world use cases and explain how the Intel–Red Hat partnership enables scalable, deploy-anywhere sovereign AI solutions.

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Session Highlights

Sovereign AI as a non-negotiable data requirement

Retain total control over your organizational data, models, and infrastructure through verifiable systems that withstand shifting regulatory and geopolitical pressures.

Balancing control and scalability via hybrid cloud

Navigate the complexities of cloud computing by adopting hybrid environments that seamlessly integrate AI security with operational independence.

Confidential computing as your security cornerstone

Protect critical data during active processing and close traditional security gaps by deploying confidential virtual machines across shared infrastructures.