Guardrails
Noun · AI & Machine Learning
Definitions
Validation layers applied to AI model inputs and outputs to enforce safety, accuracy, and compliance constraints. Can include content filters, format validators, factual consistency checks, and PII redaction. Essential for production LLM applications.
In plain English: Safety checks that filter what goes into and comes out of an AI to prevent harmful, incorrect, or off-topic responses.
Example: "We added guardrails that reject any response containing medical advice and flag outputs that don't match our JSON schema."