Artificial intelligence is no longer confined to innovation labs or pilot programs. As enterprises deploy GenAI and MLOps platforms across Azure, AWS, and hybrid environments, AI is becoming a first-class cloud workload, and that shift is exposing security models that were never designed for autonomous, adaptive systems.

In this episode, we’re joined by Milan Rana, Principal AI Architect at Headstorm, to explore what actually breaks when organizations scale AI in production. Drawing from hands-on experience building secure AI landing zones for regulated enterprises, Milan moves beyond theory to highlight real-world failure points, architectural tradeoffs, and governance gaps.

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