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This article presents AI engineering as the foundation of Trustworthy AI, arguing that transparency, explainability, governance, observability, and security must be engineered throughout the entire AI lifecycle rather than added as compliance measures after development. It introduces SHER DeepAI's Engineering Capability Framework and explains how the DeepTAI platform operationalizes these capabilities to build trustworthy AI systems by design.

This commentary analyzes the Anthropic case (Fable 5 & Mythos 5) as a pivotal moment for AI governance, arguing that frontier AI systems are increasingly viewed as strategic infrastructure, requiring governance to evolve from operational compliance to a key strategic leadership function.