ModelRefs / Content Moderation — AI Glossary
Content Moderation — AI Glossary
Automated classification of LLM inputs and outputs to detect and filter harmful, inappropriate, or policy-violating content.
Overview
Content moderation layers (OpenAI Moderation API, Azure Content Safety, Google Perspectives API, AWS Comprehend Toxicity) classify text into harm categories: hate, violence, sexual, self-harm, harassment. Integrated at the API gateway layer before prompt routing and after response generation. Distinct from model-level safety training—complementary defense in depth.
Reference details
| Topic | safety |
|---|---|
| Also known as | input/output filtering, guardrail filtering |
| Last reviewed | 2026-06-24 |
Related terms
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Frequently asked questions
What is Content Moderation?
Automated classification of LLM inputs and outputs to detect and filter harmful, inappropriate, or policy-violating content.
Is Content Moderation the same as input/output filtering?
Yes — input/output filtering, guardrail filtering are common aliases for Content Moderation.
What concepts are related to Content Moderation?
Closely related concepts include guardrails, toxicity detection, pii detection.