news
Red Hat is Selling Microsoft (Proprietary, Back Doors Included), Slop Plagiarism, and Mass Surveillance Marketed as "Confidential"
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Red Hat Official ☛ Azure Red Hat OpenShift with hosted control planes is now available in public preview [Ed: Red Hat cannot stop selling proprietary software for Microsoft]
Azure Red Hat OpenShift provides a comprehensive application platform designed to accelerate application delivery, but that's not all it does. Azure Red Hat OpenShift provides a robust foundation to build, deploy, and manage applications at scale, to improve operational efficiency, reduce complexity with a unified platform, offload ongoing infrastructure management to a team of Red Hat site reliability engineers (SREs), and manage different workloads such as AI-enabled applications alongside VMs and containers.
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Red Hat Official ☛ Opening the black box: Profiling a secured agentic pipeline on Red Hat OpenShift AI [Ed: Red Hat selling a perishing Ponzi scheme for IBM]
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Red Hat Official ☛ The datacenter myth: Why sovereign AI demands a tenancy model, not just geography [Ed: Red Hat sells two lies, one about "sovereignty" and another about slop being intelligence; this is utterly embarrassing]
AI services concentrate the exact things sovereignty platform providers care about—sensitive data, scarce accelerator capacity, opaque runtime behavior—into a single shared platform. The moment you offer those services to more than 1 consumer—whether that’s a government department, a regulated enterprise, or a business unit inside a telecommunications service provider—sovereignty stops being a question of where and becomes a question of how strongly separated.
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Red Hat Official ☛ Achieving data sovereignty for SaaS with confidential containers and quantum-safe networking [Ed: "Confidential computing" is not security or privacy, it's a plot to keep misleading companies and governments into outsourcing sensitive data to back doored and hostile platforms while ticking compliance boxes]
A better approach is for the vendor to keep the service in the cloud while giving customers stronger security guarantees through cryptographic controls. Confidential computing is 1 example of a privacy-enhancing technology (PET) that protects sensitive data while it’s processed in an untrusted environment. Existing solutions provide hardware-backed security across central processing unit (CPU) and graphics processing unit (GPU) infrastructure, with cryptographic verification through attestation. This makes them suitable for use cases such as AI model training or processing sensitive data like personally identifiable information (PII) and protected health information (PHI).