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Guardrails

The layer of policies, filters and validators that constrain LLM outputs to safe, on-brand, on-topic responses.

In depth

Guardrails span input filtering (jailbreak detection, PII scrubbing), output validation (schema conformance, hallucination checks) and behavioural policy (tone, refusal). Every enterprise agent deployment has a guardrail layer; missing one is the fastest path to a public incident.

Related terms

Hallucination
When an LLM generates plausible-sounding but factually wrong output, the fundamental risk of generative AI.
Prompt Engineering
The craft of designing model inputs (system prompts, few-shot examples, output schemas) to elicit reliable outputs.
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