AI Native Course
Glossary

Guardrails

The checks around a model that constrain what can go in and what can come out.

Guardrails include input validation, output filtering, allow-lists of tools, rate limits, confidence thresholds and a kill switch you can flip without a deploy.

Design them before launch. Retrofitting guardrails after an incident is far more expensive than building them in.

Where this shows up in the course

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