2025_07 - Fix monthly broken links

Author: Albertyang0

articles/ai-foundry/responsible-ai/agents/transparency-note.md

@@ -81,7 +81,7 @@ Key features of Azure AI Agent Service include:
 
 ### Agent Catalog 
 
-Azure AI Foundry Agent Service offers a range of different Agent code samples that can get you started toward building Agents for your specific use case needs. Each Agent code sample should be deployed with [risk management considerations](#considerations-when-choosing-a-use-case) in mind. See the [list of Agent code samples](/azure/ai-services/agents/how-to/agent-catalog#view-all-available-code-samples) currently available.  
+Azure AI Foundry Agent Service offers a range of different Agent code samples that can get you started toward building Agents for your specific use case needs. Each Agent code sample should be deployed with [risk management considerations](#considerations-when-choosing-a-use-case) in mind. See the [list of Agent code samples](/azure/ai-foundry/agents/overview#agent-catalog) currently available.  
 
 ### Extensibility capabilities 
 
@@ -129,7 +129,7 @@ Azure AI Agent Service is **flexible and use-case agnostic.** This presents mult
 * **Education: Assisting with Research and Reference Gathering:** A teacher relies on an agent to gather age-appropriate articles and resources from reputable sources for a planetary science lesson; the teacher verifies the materials for factual accuracy and adjusts them to fit the curriculum, ensuring students receive trustworthy content.
 * **Manufacturing: Inventory Oversight and Task Scheduling:** A factory supervisor deploys an agent to monitor inventory levels, schedule restocking when supplies run low, and optimize shift rosters; management confirms the agent’s suggestions and retains final decision-making authority.
 
-Agent code samples have specific intended uses that are configurable by developers to carefully build upon, implement, and deploy agents. See [list of Agent code samples](/azure/ai-services/agents/how-to/agent-catalog#view-all-available-code-samples).
+Agent code samples have specific intended uses that are configurable by developers to carefully build upon, implement, and deploy agents. See [list of Agent code samples](/azure/ai-foundry/agents/overview#agent-catalog).
 
 
 #### Considerations when choosing a use case

articles/ai-foundry/responsible-ai/computer-vision/image-analysis-characteristics-and-limitations.md

@@ -70,8 +70,8 @@ For information see [Image requirements](/azure/ai-services/computer-vision/over
 
 ## Next steps
 
-* [Transparency Note](/azure/ai-foundry/responsible-ai/computer-vision/imageanalysis-transparency-note)
-* [Responsible deployment of Image Analysis](/azure/ai-foundry/responsible-ai/computer-vision/imageanalysis-guidance-for-integration)
+* [Transparency Note](/azure/ai-foundry/responsible-ai/computer-vision/image-analysis-transparency-note)
+* [Responsible deployment of Image Analysis](/azure/ai-foundry/responsible-ai/computer-vision/image-analysis-guidance-for-integration)
 * [Image Analysis Overview](/azure/ai-services/computer-vision/overview-image-analysis)
 * [QuickStart your Image Analysis use case development](/azure/ai-services/computer-vision/quickstarts-sdk/image-analysis-client-library)
-* [Data, privacy, and security for Image Analysis](/azure/ai-foundry/responsible-ai/computer-vision/imageanalysis-data-privacy-security)
+* [Data, privacy, and security for Image Analysis](/azure/ai-foundry/responsible-ai/computer-vision/image-analysis-data-privacy-security)

articles/ai-foundry/responsible-ai/computer-vision/image-analysis-data-privacy-security.md

@@ -75,7 +75,7 @@ For additional security best practices and information, visit [Azure AI services
 
 ## Next steps
 
-* [Characteristics and limitations](/azure/ai-foundry/responsible-ai/computer-vision/imageanalysis-characteristics-and-limitations)
+* [Characteristics and limitations](/azure/ai-foundry/responsible-ai/computer-vision/image-analysis-characteristics-and-limitations)
 * [Responsible deployment of Image Analysis](/azure/ai-foundry/responsible-ai/computer-vision/imageanalysis-guidance-for-integration)
 * [Quickstart your Image Analysis use case development](/azure/ai-services/computer-vision/quickstarts-sdk/image-analysis-client-library)
-* [Transparency Note](/azure/ai-foundry/responsible-ai/computer-vision/imageanalysis-transparency-note)
+* [Transparency Note](/azure/ai-foundry/responsible-ai/computer-vision/image-analysis-transparency-note)

articles/ai-foundry/responsible-ai/computer-vision/image-analysis-guidance-for-integration.md

@@ -44,9 +44,9 @@ A successful privacy approach empowers individuals with information, and provide
 * Don't share any data without explicit consent from affected stakeholders or data owners, and minimize the data that is shared.
 
 ## Next steps
-* [Transparency Note](/azure/ai-foundry/responsible-ai/computer-vision/imageanalysis-transparency-note)
-* [Characteristics and limitations](/azure/ai-foundry/responsible-ai/computer-vision/imageanalysis-characteristics-and-limitations)
-* [Responsible deployment of Image Analysis](/azure/ai-foundry/responsible-ai/computer-vision/imageanalysis-guidance-for-integration)
+* [Transparency Note](/azure/ai-foundry/responsible-ai/computer-vision/image-analysis-transparency-note)
+* [Characteristics and limitations](/azure/ai-foundry/responsible-ai/computer-vision/image-analysis-characteristics-and-limitations)
+* [Responsible deployment of Image Analysis](/azure/ai-foundry/responsible-ai/computer-vision/image-analysis-guidance-for-integration)
 * [QuickStart your Image Analysis use case development](/azure/ai-services/computer-vision/quickstarts-sdk/image-analysis-client-library)
-* [Data, privacy, and security for Image Analysis](/azure/ai-foundry/responsible-ai/computer-vision/imageanalysis-data-privacy-security)
+* [Data, privacy, and security for Image Analysis](/azure/ai-foundry/responsible-ai/computer-vision/image-analysis-data-privacy-security)
 

articles/ai-foundry/responsible-ai/computer-vision/image-analysis-transparency-note.md

@@ -272,7 +272,7 @@ Based on the model's performance, you need to decide if the model is appropriate
 
 ## Next steps
 
-* [Responsible deployment of Image Analysis](/azure/ai-foundry/responsible-ai/computer-vision/imageanalysis-guidance-for-integration)
+* [Responsible deployment of Image Analysis](/azure/ai-foundry/responsible-ai/computer-vision/image-analysis-guidance-for-integration)
 * [Image Analysis Overview](/azure/ai-services/computer-vision/overview-image-analysis)
 * [QuickStart your Image Analysis use case development](/azure/ai-services/computer-vision/quickstarts-sdk/image-analysis-client-library)
-* [Data, privacy, and security for Image Analysis](/azure/ai-foundry/responsible-ai/computer-vision/imageanalysis-data-privacy-security)
+* [Data, privacy, and security for Image Analysis](/azure/ai-foundry/responsible-ai/computer-vision/image-analysis-data-privacy-security)

articles/ai-foundry/responsible-ai/face/data-privacy-security.md

@@ -36,7 +36,7 @@ Face maintains GDPR data processor classification across all supported regions.
 |------|-------|--------|-------|------------|-------|
 | **[Face Detection without faceID](/rest/api/face/face-detection-operations/detect)**| Detects faces within images<br><br>Includes the following parameters:<ul><li>returnFaceLandmarks</li><li>returnFaceAttributes</li><li>detectionModel</li></ul> **Scenario**: Face detection | Image (binary or URL download)| Coordinates of the bounding box location(s) of the face(s) are generalized regardless of who is in the image. Cannot be used to recognize faces or otherwise uniquely identify individuals. | No template is created | N/A |
 | **[Face Detection with faceID](/rest/api/face/face-detection-operations/detect)** | Returns a face ID to be used for the [Face recognition APIs](/rest/api/face/face-recognition-operations) (Identify,  Verify API, Group API, and Find Similar).<br><br>Face ID is only supported for customers who have been approved for access.<br><br>Includes the following parameters:<ul><li>returnFaceId=true</li><li>recognitionModel</li><li>returnRecognitionModel</li><li>*faceIdTimeToLive*</li></ul>**Scenario**: Facial Verification and Facial Identification (approved customers only) | Image (binary or URL download) | FaceID, a randomly generated identifier assigned to a new face feature template for each image submitted to Face API. The FaceID changes for each image submitted, even if the image is of the same face. There's no matching or comparison in Detect API with FaceID. | The face template expires within 24 hours. | The FaceId template expiration date can be adjusted to less than 24 hours with the *faceIdTimeToLive* parameter. |
-| **Face Liveness ([Kotlin](https://github.com/Azure-Samples/azure-ai-vision-sdk/blob/main/docs/face/android_api_reference.md), [Swift](https://github.com/Azure-Samples/azure-ai-vision-sdk/blob/main/docs/face/ios_api_reference.md))**| Detects face liveness.<br><br>(approved customers only) | Video | Enumeration of real, spoof, or uncertain. | One or more templates may be created. Templates are not stored after analysis.| N/A|
+| **Face Liveness ([Kotlin](https://github.com/Azure-Samples/azure-ai-vision-sdk/tree/main), [Swift](https://github.com/Azure-Samples/azure-ai-vision-sdk/tree/main))**| Detects face liveness.<br><br>(approved customers only) | Video | Enumeration of real, spoof, or uncertain. | One or more templates may be created. Templates are not stored after analysis.| N/A|
 | **[Verify](/rest/api/face/face-recognition-operations/verify-face-to-face)**| Performs a one-to-one match between a FaceID and either another FaceID, a PersonGroupPerson, a LargePersonGroupPerson, or a PersonDirectoryPerson.<br><br>**Scenario**: Facial Verification and Facial Identification (approved customers only) | Both of:<ul><li>A FaceID array from the [Detect API](/rest/api/face/face-detection-operations/detect) (with `returnFaceId=true`)</li><li>One of the following:<ul><li>Another FaceID array from the [Detect API](/rest/api/face/face-detection-operations/detect) (with `returnFaceId=true`)</li><li>A PersonId and one of the following:<ul><li>GroupPersonId from [PersonGroup Create API](/rest/api/face/person-group-operations/create-person-group)</li><li>LergePersonGroupId from [LargePersonGroup Create API](/rest/api/face/person-group-operations/create-large-person-group)</li><li>DynamicPersonGroupId from [PersonDirectoryDynamicPersonGroup Create API](/rest/api/face/person-directory-operations/create-dynamic-person-group)</li></ul></li></ul></li></ul> | Determines whether a FaceID is a match compared to the other FaceID. | The FaceID array and associated face template created with Face Detect’s FaceID feature expire within 24 hours. <br><br> The input PersonGroupId, LargePersonGroupId, or PersonDirectory face templates will not expire. | The FaceId template expiration date can be adjusted to less than 24 hours with *faceIdTimeToLive*. <br><br>PersonGroupId, LargePersonGroupId, PersonIds, and their persistedFaceIds can be managed and deleted by the customer with the following APIs:<br><br>Person deletion (Deleting a Person also deletes their associated Face templates):<ul><li>PersonGroupPerson - Delete</li><li>LargePersonGroupPerson - Delete</li><li>PersonDirectoryPerson - Delete</li></ul>Person Face deletion<ul><li>PersonGroupPersonFace -  Delete</li><li>LargePersonGroupPersonFace - Delete</li><li>PersonDirectoryPersonFace - Delete</li></ul> |
 | **[Identify](/rest/api/face/face-recognition-operations/identify-from-dynamic-person-group)** | Given a FaceID, performs a 1-to-N search for similar-looking persons in a FaceID array, a personGroupId, a largePersonGroupId, a dynamicPersonGroupId, or a list of PersonDirectory persons. <br><br> **Scenario**: Facial Identification<br>**(Approved Customer Only)** | <ul><li>FaceID Array From [Detect API](/rest/api/face/face-detection-operations/detect) with returnFaceId=true</li><li>One of the following:</li><ul><li>PersonGroupId from [PersonGroup Create API](/rest/api/face/person-group-operations/create-person-group)</li><li>LargePersonGroupId from [LargePersonGroup – Create API](/rest/api/face/person-group-operations/create-large-person-group)</li><li>DynamicPersonGroupId from [PersonDirectory DynamicPersonGroup – Create API](/rest/api/face/person-directory-operations/create-dynamic-person-group)</li><li>Array of Persons from [PersonDirectory Person Create API](/rest/api/face/person-directory-operations/create-person)</li></ul></ul>|For each FaceID provided, a list of candidate PersonIds from the corresponding input search group.| The faceID array and associated face template created with [Face Detect’s FaceId feature](/rest/api/face/face-detection-operations/detect) expire within 24 hours.<br><br>The input PersonGroupId created by [PersonGroup Create API](/rest/api/face/person-group-operations/create-person-group) contains PersonGroupPersons with associated persistedFaceId face templates that will not expire.<br><br>The input LargePersonGroupId created by [LargePersonGroup Create API](/rest/api/face/person-group-operations/create-large-person-group) contains LargePersonGroupPersons with associated persistedFaceIds face templates that will not expire.<br><br>The input PersonDirectory Persons created by [PersonDirectory Person Create API](/rest/api/face/person-directory-operations/create-person) and referenced by [DynamicPersonGroup Create](/rest/api/face/person-directory-operations/create-dynamic-person-group) contains PersonDirectoryPersons with associated persistedFaceIds face templates that will not expire.<br><br>| The FaceIDs array template's expiration can be adjusted to less than 24 hours with the [Detect API](/rest/api/face/face-detection-operations/detect) query parameter *faceIdTimeToLive*<br><br>faceListId; largeFaceListId; and persistentFaceIds can be managed and deleted by customers with the Face API commands. |
 | **[Find Similar](/rest/api/face/face-recognition-operations/find-similar)** | Given a face, searches for similar-looking faces from a faceID array, a faceListId or a largeFaceListId.<br><br>Depending on the type of Customer request (for a faceID array or a faceListID), the results returned to customers contain faceIDs or persistedFaceIDs ranked by similarity. <br><br>**Scenario**: Facial Identification **(Approved Customer Only)** | The FaceID or FaceID Array From [Detect API](/rest/api/face/face-detection-operations/detect) returnFaceId=true<br><br>faceListID; largeFaceListID | The matching persistedFaceID, with confidence score |  The input faceID array may contain multiple faces detected by [Detect API](/rest/api/face/face-detection-operations/detect). These faceID array and associated face template expires within 24 hours.<br><br>The input faceListID is created by [FaceList – Create API](/rest/api/face/face-list-operations/create-face-list) containing persistedFaceIDs and associated face template that will not expire.<br><br>The input largeFaceListID is created by [LargeFaceList – Create API](/rest/api/face/face-list-operations/create-large-face-list) containing persistedFaceIDs and associated face template that will also not expire. | FaceIDs array template expiration can be adjusted to less than 24 hours with  [Detect API](/rest/api/face/face-detection-operations/detect) query parameter *faceIdTimeToLive*<br><br>faceListID; LargeFaceListID; and PersistentFaceIDs can be managed and deleted by Customers via the Face API commands. |

articles/ai-services/computer-vision/overview-identity.md

@@ -96,7 +96,7 @@ Concepts
 - [Abuse monitoring](concept-liveness-abuse-monitoring.md)
 
 Face liveness SDK reference docs:
-- [Java (Android)](https://aka.ms/liveness-sdk-java)
+- [Java (Android)](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/vision/azure-ai-vision-imageanalysis/src/samples/README.md)
 - [Swift (iOS)](https://aka.ms/liveness-sdk-ios)
 - [JavaScript (Web)](https://aka.ms/liveness-sdk-web)