AI guardrails are automated checks on an AI model's input or output — scope, factual support, safety and policy — that stop or flag a response before it is used.
Also called: AI safety checks, AI Guardians, LLM guardrails
Common guardrails check whether a request falls within the allowed domain, classify the user's intent, test whether the claims in an answer are supported by the retrieved sources, and filter harmful content.
In ATX Agent Hub these are workflow nodes — AI Guardian, Fact Checking, Intent Check and Domain Constraint — so a high-stakes workflow can require them before anything leaves the organisation.
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