Enterprise AI promises unprecedented innovation, but it also introduces complex privacy challenges that can’t be solved with traditional security approaches. As organizations deploy AI across distributed environments, they may think that they face a critical choice: sacrifice privacy for performance or accept compromised AI capabilities to maintain data control.  However, this is a false choice. Privacy without compromise is achievable when you use AI infrastructure that was built with security and data governance embedded from the ground up. Privacy cannot be an afterthought—it must be built into the very foundation of infrastructure. The key lies in understanding that privacy isn’t…

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