--- title: "Enforce Content Policies at the Gateway with AI Gateway Guardrails" url: https://daily.dev/posts/enforce-content-policies-at-the-gateway-with-ai-gateway-guardrails-ffe7yn6va source_url: https://mlflow.org/blog/gateway-guardrails/ type: article source: "mlflow" published: 2026-04-21T14:26:01.586Z updated: 2026-04-23T02:12:26.132Z tags: ["ai-gateway", "llm", "machine-learning"] reading_time: 5 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Enforce Content Policies at the Gateway with AI Gateway Guardrails **[mlflow](https://daily.dev/sources/MLflow)** · 5 min read · 0 upvotes · 0 comments ## Summary MLflow AI Gateway now supports configurable guardrails that enforce content policies at the gateway layer, before requests reach LLMs or responses reach users. Three built-in types are available: Safety (toxicity filtering), PII Detection, and Custom. Guardrails can be set to either block requests with an HTTP 400 error or sanitize (redact) offending content. They run in order per endpoint, support before/after pipeline stages, and use a separate LLM judge model for evaluation. Configuration is done through the MLflow UI with no application code changes required. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [What Are AI Guardrails](https://daily.dev/posts/what-are-ai-guardrails-zluqspinf) · Last9 · 1 upvotes · 0 comments - [Guardrails for AI Agents](https://daily.dev/posts/guardrails-for-ai-agents-adozwgdvm) · UX Planet · 0 upvotes · 0 comments --- Tags: [#ai-gateway](https://daily.dev/tags/ai-gateway), [#llm](https://daily.dev/tags/llm), [#machine-learning](https://daily.dev/tags/machine-learning) [View this post on daily.dev](https://daily.dev/posts/enforce-content-policies-at-the-gateway-with-ai-gateway-guardrails-ffe7yn6va)