In this blog post, which is the final part of a three-part series, we discuss redefining control for the high-velocity, AI-driven data center.  By now, the takeaway from this series should feel both clear and urgent. In the first post of this series, we challenged the long-standing belief that security must be sacrificed at the cost of performance. In the second post , we confronted the reality that most modern data center traffic flows east-west, never crossing the perimeter. This final post merges these ideas and reframes the conversation entirely. Security frameworks have evolved Artificial intelligence (AI) has fundamentally changed how applications behave, how data flows, and how risk manifests. AI security is no longer a single control problem; it’s an architectural one. Today’s AI workloads are distributed across cloud environments, Kubernetes clusters, APIs , and containerized services.…