Most AI privacy talk still sounds like policy theatre encrypted deleted after X days not used for training

But none of that matters at inference time that is where your data is actually processed

@OpenGradient shifts the trust boundary to hardware using TEEs sealed execution environments where even the operator cannot inspect what runs inside

It is not trust us with your data it is the system cannot see it

But TEEs are not magic side channel risks and hardware assumptions are real and security depends heavily on implementation

Still the direction is clear privacy moving from legal promises to physical enforcement at compute level

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Is AI privacy shifting from policy promises to hardware enforcement?