Glossary · Definition
Guardrails
Guardrails are the checks and limits around an AI system — on inputs, outputs and actions — that keep it within its intended scope and policies.
By Nythrex EngineeringUpdated 1 min read
In plain words
Guardrails include detecting prompt injection and abuse, blocking topics you never want discussed, validating output format, redacting personal data, and hard limits on what actions can be taken. The important ones are enforced in code, not just requested in the prompt.
When it matters to you
- Customer-facing AI
- Agents that take actions
- Any processing of personal or sensitive data
Common pitfalls
- Relying only on prompt instructions
- Guardrails so strict the system is useless
- Not testing guardrails with adversarial cases
Keep reading
GuideAn AI support chatbot that doesn’t embarrass youBuild an AI support chatbot customers trust: grounded answers, clear scope, human hand-off, safe actions, abuse protection and honest metrics.GuideAI agents in production: what breaksLoops, runaway costs, wrong-record actions, prompt injection and silent failures: how AI agents break in production and the patterns that prevent it.GlossaryHallucinationA hallucination is when a language model states something false or unsupported with confidence — an invented fact, citation, policy or number.
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