Glossary
Guardrails
The checks and limits placed around an AI system to keep its inputs and outputs safe, on-topic, and within policy.
Guardrails are the safety rails around a model. They can filter what goes in, constrain what comes out, block sensitive topics, and validate format, so the system stays inside the boundaries you set even when users push on it.
Because a model is probabilistic, you can't assume it will always behave; guardrails are how you enforce rules deterministically. They are essential anywhere an AI is customer-facing or able to take real actions.
How we use it
We layer guardrails with evaluation and least-privilege tools, so your AI features stay on-brand and on-policy in the messy real world, not just in testing.
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