additional edits

Author: msakande

articles/ai-studio/concepts/content-filtering.md

@@ -26,7 +26,7 @@ Azure AI Foundry includes a content filtering system that works alongside core m
 
 This content filtering system is powered by [Azure AI Content Safety](../../ai-services/content-safety/overview.md), and it works by running both the prompt input and completion output through an ensemble of classification models aimed at detecting and preventing the output of harmful content. Variations in API configurations and application design might affect completions and thus filtering behavior.
 
-With Azure OpenAI model deployments, you can use the default content filter or create your own content filter (described later on). The default content filter is also available for other text models curated by Azure AI in the [model catalog](../how-to/model-catalog.md), but custom content filters aren't yet available for those models. Models available through **Models as a Service** have content filtering enabled by default and can't be configured.
+With Azure OpenAI model deployments, you can use the default content filter or create your own content filter (described later on).  Models available through **serverless APIs** have content filtering enabled by default. To learn more about the default content filter, see [Content safety for models in the model catalog](model-catalog-content-safety.md).
 
 ## Language support
 

articles/ai-studio/concepts/model-catalog-content-safety.md

@@ -1,11 +1,11 @@
 ---
-title: Content safety for serverless APIs
+title: Content safety for models in the model catalog
 titleSuffix: Azure AI Foundry
 description: Learn about content safety for models deployed using serverless APIs, using Azure AI Foundry.
 manager: scottpolly
 ms.service: azure-ai-foundry
 ms.topic: conceptual
-ms.date: 01/21/2025
+ms.date: 02/04/2025
 ms.author: mopeakande 
 author: msakande
 ms.reviewer: ositanachi
@@ -15,14 +15,16 @@ ms.custom:
 
 # Content safety for models in the model catalog
 
+[!INCLUDE [feature-preview](../includes/feature-preview.md)]
+
 In this article, learn about content safety capabilities for models from the model catalog deployed using serverless APIs.
 
 
 ## Content filter defaults
 
-Azure AI uses a default configuration of [Azure AI Content Safety](/azure/ai-services/content-safety/overview) content filters that detect harmful content across four categories hate and fairness, self-harm, sexual, and violence for models deployed via serverless APIs. To learn more about content filtering (preview), see [Harm categories in Azure AI Content Safety](/azure/ai-services/content-safety/concepts/harm-categories).
+Azure AI uses a default configuration of [Azure AI Content Safety](/azure/ai-services/content-safety/overview) content filters to detect harmful content across four categories including hate and fairness, self-harm, sexual, and violence for models deployed via serverless APIs. To learn more about content filtering (preview), see [Understand harm categories](#understand-harm-categories).
 
-The default content filtering configuration for text models is set to filter at the medium severity threshold, filtering any detected content at this level or higher. For image models, the default content filtering configuration is set at the low configuration threshold, filtering at this level or higher. Models deployed using the [Azure AI model inference service](../../ai-foundry/model-inference/how-to/configure-content-filters.md)can create configurable filters by clicking the **Content filters** tab within the **Safety + security** page.
+The default content filtering configuration for text models is set to filter at the medium severity threshold, filtering any detected content at this level or higher. For image models, the default content filtering configuration is set at the low configuration threshold, filtering at this level or higher. For models deployed using the [Azure AI model inference service](../../ai-foundry/model-inference/how-to/configure-content-filters.md), you can create configurable filters by selecting the **Content filters** tab within the **Safety + security** page of the Azure AI Foundry portal.
 
 > [!TIP]
 > Content filtering (preview) isn't available for certain model types that are deployed via serverless APIs. These model types include embedding models and time series models.

articles/ai-studio/toc.yml

@@ -198,6 +198,8 @@ items:
         - name: Consume serverless API models from a different project or hub
           href: how-to/deploy-models-serverless-connect.md
           displayName: maas, paygo, models-as-a-service
+        - name: Content safety for models deployed with serverless API
+          href: concepts/model-catalog-content-safety.md
         - name: Model and region availability for Serverless API deployments
           href: how-to/deploy-models-serverless-availability.md
       - name: Managed compute
@@ -414,7 +416,7 @@ items:
     href: responsible-use-of-ai-overview.md
   - name: What is Azure AI Content Safety?
     href: ai-services/content-safety-overview.md
-  - name: Content safety in the Azure AI Foundry portal
+  - name: Content safety for models deployed with serverless APIs
     href: concepts/model-catalog-content-safety.md
   - name: Use Azure AI content safety in the portal
     href: ../ai-services/content-safety/how-to/foundry.md?context=/azure/ai-studio/context/context