ht content updates

Author: PatrickFarley

articles/ai-studio/ai-services/content-safety-overview.md

@@ -57,17 +57,11 @@ You can use Azure AI Content Safety for many scenarios:
 |Medium |Content that uses offensive, insulting, mocking, intimidating, or demeaning language towards specific identity groups, includes depictions of seeking and executing harmful instructions, fantasies, glorification, promotion of harm at medium intensity. |
 |High |Content that displays explicit and severe harmful instructions, actions, damage, or abuse; includes endorsement, glorification, or promotion of severe harmful acts, extreme or illegal forms of harm, radicalization, or nonconsensual power exchange or abuse. |
 
-## Other Content Safety features
-
-| Feature    | Functionality    | Concepts guide | 
-|:--- |:--- | ---|
-| [Groundedness detection](/rest/api/contentsafety/text-groundedness-detection-operations/detect-groundedness-options) (preview) | Detects whether the text responses of large language models (LLMs) are grounded in the source materials provided by the users. | [Groundedness detection concepts](/azure/ai-services/content-safety/concepts/groundedness)|
-| [Protected material text detection](/rest/api/contentsafety/text-operations/detect-text-protected-material) | Scans AI-generated text for known text content (for example, song lyrics, articles, recipes, selected web content). | [Protected material concepts](/azure/ai-services/content-safety/concepts/protected-material)|
-| Custom categories (standard) API (preview)    | Lets you create and train your own custom content categories and scan text for matches. | [Custom categories concepts](/azure/ai-services/content-safety/concepts/custom-categories)|
-| Custom categories (rapid) API (preview) | Lets you define emerging harmful content patterns and scan text and images for matches. | [Custom categories concepts](/azure/ai-services/content-safety/concepts/custom-categories)| 
+## Limitations
 
 Refer to the [Content Safety overview](/azure/ai-services/content-safety/overview) for supported regions, rate limits, and input requirements for all features. Refer to the [Language support](/azure/ai-services/content-safety/language-support) page for supported languages. 
 
+
 ## Next step 
 
 Get started using Azure AI Content Safety in Azure AI Studio by following the [How-to guide](./how-to/content-safety.md).

articles/ai-studio/ai-services/how-to/content-safety.md

@@ -68,6 +68,46 @@ The **Prompt Shields** panel lets you try out user input risk detection. Detect
 
 For more information, see the [Prompt Shields conceptual guide](/azure/ai-services/content-safety/concepts/jailbreak-detection). 
 
+
+
+## Use Groundedness detection
+
+The Groundedness detection panel lets you detect whether the text responses of large language models (LLMs) are grounded in the source materials provided by the users.
+
+1. Select the **Groundedness detection** panel.
+1. Select a sample content set on the page, or input your own for testing.
+1. Optionally, enable the reasoning feature and select your Azure OpenAI resource from the dropdown.
+1. Select **Run test**. 
+    The service returns the groundedness detection result.
+
+
+For more information, see the [Groundedness detection conceptual guide](/azure/ai-services/content-safety/concepts/groundedness).
+
+
+## Use Protected material detection
+
+This feature scans AI-generated text for known text content (for example, song lyrics, articles, recipes, selected web content).
+
+1. Select the **Protected material detection for text** or **Protected material detection for code** panel.
+1. Select a sample text on the page, or input your own for testing.
+1. Select **Run test**. 
+    The service returns the protected content result.
+
+For more information, see the [Protected material conceptual guide](/azure/ai-services/content-safety/concepts/protected-material).
+
+## Use custom categories
+
+This feature lets you create and train your own custom content categories and scan text for matches. 
+
+1. Select the **Custom categories** panel.
+1. Select **Add a new category** to open a dialog box. Enter your category name and a text description, and connect a blob storage container with text training data. Select **Create and train**. 
+1. Select a category and enter your sample input text, and select **Run test**. 
+    The service returns the custom category result.
+
+
+For more information, see the [Custom categories conceptual guide](/azure/ai-services/content-safety/concepts/custom-categories).
+
+
 ## Next step
 
 To use Azure AI Content Safety features with your Generative AI models, see the [Content filtering](../../concepts/content-filtering.md) guide.