Source: SiliconANGLE
As companies deploy AI at scale, security is shifting from a perimeter defense function to the central control system that governs which models run, what data they access, and how outputs get validated. This changes how security teams organize and where they gain leverage. The shift reflects a practical reality: AI workloads are too distributed and fast-moving for traditional access controls, forcing security to embed itself into the model lifecycle itself. This opens a market opportunity for vendors positioned as "AI control planes" while creating new dependencies where security decisions become business bottlenecks.