Content Filter
Also called Content Filter
A separate check that screens prompts or outputs and blocks the ones that break the rules.
Think of it like
A metal detector at the door — independent of the people inside, it stops the obvious threats before they get through.
Example
A user’s request for explicit instructions to build a weapon is caught by the input filter and blocked before it ever reaches the model.
How it actually works
A content filter is a guardrail that lives outside the model, usually a classifier that scores text against policy categories and blocks or flags it. Running it on both inputs and outputs adds defense in depth: even if a jailbreak slips a bad request past, the output filter can still catch the bad response. It’s coarser than the model’s own judgment and can over-block, but it’s a fast, auditable safety layer.
For product teams
A policy control you own outside the model — tunable and auditable without retraining anything.
For engineers
An external classifier gating inputs and outputs against policy categories; a defense-in-depth layer around model-internal safety.
Related
- Moderation — The broader review process it serves.
- Toxicity — A common category it screens for.
- Output Validation — Checking model outputs specifically.
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