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Guardrails

Definition Technical mechanisms — filters, classifiers, constitutional rules, or system prompts — that constrain AI model outputs to be safe, appropriate, and within defined policy limits. Guardrails are a practical layer of safety on top of model-level training.

In Depth

Guardrails can operate at input (blocking harmful prompts), at output (filtering unsafe responses), or at the infrastructure level (rate limiting, audit logging). They range from simple keyword filters to learned safety classifiers trained on human-labeled harmful content. Effective guardrails balance safety with usefulness — overly restrictive systems frustrate legitimate users, while insufficiently calibrated ones allow harmful outputs to slip through.

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