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Glossary entry

Guardrails

The combined safety, format, and policy filters that constrain what an LLM can output in production.

Guardrails are the layer of filters and validators around an LLM that block unsafe, off-topic, or wrongly-formatted output before it reaches the user. They include content moderation models, format validators (regex, JSON schema), topic filters, and prompt-injection detectors.

Most production LLM apps use a mix of provider-level safety (OpenAI moderation, Anthropic's constitutional AI) and application-level guardrails (NeMo Guardrails, Guardrails AI library, Lakera). The trade-off is always latency and false-positive rate vs robustness.

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MytheAi Team, editorial team at MytheAi

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The MytheAi editorial team tracks and reviews AI and SaaS tools. We built MytheAi out of frustration with pay-to-rank listicles and SEO-driven directories that prioritize ad revenue over honest guidance. Hands-on testing across 590+ tools to date.

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See also: all 30 terms·how we research·Last reviewed 2026