Provable robustness to sensor spoofing and adversarial inputs, beyond network zero-trust.
The AI-Native S.M.A.R.T. Generator Master Blueprint — eight layers (L0→L7), one control stack, wired to both machines. Telemetry rises in microseconds; control descends the same path.
Category: D · trust & scale · Plugs into: L1 / L3 · Horizon: FOAK · Status: on the roadmap — not yet built
What it is
Network zero-trust protects the channels; certified robustness protects the models themselves — proving predictions cannot be flipped by bounded adversarial perturbations of the inputs.
The method
Certified-robustness methods (randomized smoothing, interval-bound propagation) that bound how much any input perturbation can change the output.
Why it matters
A safety-critical controller must not be steerable by a spoofed sensor; this makes robustness a proven property, not a hope. Plugs into L1/L3.