What are guardrails in LLM systems?

Guardrails are mechanisms that constrain LLM behavior to prevent unsafe, off-topic, or policy-violating outputs. They include input filters that block malicious prompts, output filters that catch harmful or off-topic responses, classifiers that detect PII or toxic content, and topic restrictions that keep the model on its intended use case. Guardrails are usually layered for defense in depth.