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Glossary · Updated Sep 24, 2026

AI guardrails

AI guardrails are the technical and policy controls that keep an AI system inside agreed limits, such as blocking certain topics, capping spend or requiring approval before an action runs.

Guardrails sit between a model and the outside world. They can filter what a user is allowed to ask, check an output before it reaches a customer, block requests that touch restricted data and stop an agent from calling a tool it has not been approved to use.

The common mistake is treating a well written system prompt as a guardrail. A prompt is an instruction the model can be talked out of, while a guardrail is a check that runs in code outside the model, such as a rule that blocks a payment tool from firing without a human approval step. Guardrails and prompts work best together, not as substitutes for each other.

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