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Sovereign AI requires extending governance to AI layer

Under new data sovereignty regulations, deploying AI systems presents an urgent challenge: Endpoints within the U.S. are not enough to meet compliance requirements for cloud data.

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When clouds have borders: Navigating cloud sovereignty

The illusion of a borderless, accessible global cloud is collapsing. Business leaders must prepare governance frameworks for an increasingly fragmented global cloud landscape.

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The pros and cons of hosting AI workloads on Kubernetes

When choosing where to host AI workloads, Kubernetes is often a top choice. However, there are drawbacks and alternatives that organizations should consider before committing.

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Vendors build safeguards for autonomous software factories

Experts say baked-in workload isolation, network controls and continuous verification are important safeguards for autonomous software development.

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