Guardrails

Given enough traffic, the model will eventually say something wrong, leak something, or get talked into something. Guardrails are the layers outside the model that catch what it can't: input filters, output validators, permission scoping, human checkpoints.

The principle is defense in depth — no single layer, including the model's own training, is trusted to hold alone.