Merge pull request #311643 from JKirsch1/foundry-rebrand-batch-6

v-shils · web-flow · commit 12a15d9e86c2 · 2026-03-04T10:58:39.000-08:00
Foundry branding
diff --git a/articles/azure-app-configuration/enable-dynamic-configuration-java-spring-app.md b/articles/azure-app-configuration/enable-dynamic-configuration-java-spring-app.md
@@ -74,7 +74,7 @@ App Configuration exposes `AppConfigurationRefresh`, which checks if the refresh
     spring.cloud.azure.appconfiguration.stores[0].monitoring.triggers[0].key=sentinel
     ```
 
-1. Open the **Azure Portal** and navigate to your App Configuration resource associated with your application. Select **Configuration Explorer** under **Operations** and create a new key-value pair by selecting **+ Create** > **Key-value** to add the following parameters:
+1. Open the **Azure portal** and navigate to your App Configuration resource associated with your application. Select **Configuration Explorer** under **Operations** and create a new key-value pair by selecting **+ Create** > **Key-value** to add the following parameters:
 
     | Key | Value |
     |---|---|
@@ -138,7 +138,7 @@ Then, open the *pom.xml* file in a text editor and add a `<dependency>` for `spr
     spring.cloud.azure.appconfiguration.stores[0].monitoring.triggers[0].key=sentinel
     ```
 
-1. Open the **Azure Portal** and navigate to your App Configuration resource associated with your application. Select **Configuration Explorer** under **Operations** and create a new key-value pair by selecting **+ Create** > **Key-value** to add the following parameters:
+1. Open the **Azure portal** and navigate to your App Configuration resource associated with your application. Select **Configuration Explorer** under **Operations** and create a new key-value pair by selecting **+ Create** > **Key-value** to add the following parameters:
 
     | Key | Value |
     |---|---|
diff --git a/articles/azure-app-configuration/enable-dynamic-configuration-java-spring-push-refresh.md b/articles/azure-app-configuration/enable-dynamic-configuration-java-spring-push-refresh.md
@@ -248,7 +248,7 @@ Event Grid Web Hooks require validation on creation. You can validate by followi
    curl -X GET https://my-azure-webapp.azurewebsites.net
    ```
 
-1. Open the **Azure Portal** and navigate to your App Configuration resource associated with your application. Select **Configuration Explorer** under **Operations** and update the values of the following keys:
+1. Open the **Azure portal** and navigate to your App Configuration resource associated with your application. Select **Configuration Explorer** under **Operations** and update the values of the following keys:
 
     | Key | Value |
     |---|---|
diff --git a/articles/azure-app-configuration/howto-ai-agent-config-python.md b/articles/azure-app-configuration/howto-ai-agent-config-python.md
@@ -19,7 +19,7 @@ The full sample source code is available in the [Azure App Configuration GitHub
 
 ## Prerequisites
 
-- Create an _Azure AI project_ in Microsoft Foundry and configure the _example agent settings_ discussed in the [Get started](./howto-ai-agent-config.md#example-agent-settings) section.
+- Create a _Foundry project_ in Microsoft Foundry and configure the _example agent settings_ discussed in the [Get started](./howto-ai-agent-config.md#example-agent-settings) section.
 - Python 3.10 or later - for information on setting up Python on Windows, see the [Python on Windows documentation](/windows/python/).
 
 ## Console application
diff --git a/articles/azure-app-configuration/howto-ai-agent-config.md b/articles/azure-app-configuration/howto-ai-agent-config.md
@@ -29,13 +29,13 @@ Here are some agent settings that can be stored on Azure App Configuration:
 
 
 ## Example agent settings
-1. Follow the [Microsoft Foundry Quickstart](/azure/ai-foundry/quickstarts/get-started-code) to create a project in Foundry with a deployed gpt-4.1 model. Note down the Azure AI project endpoint for later use.
+1. Follow the [Microsoft Foundry Quickstart](/azure/ai-foundry/quickstarts/get-started-code) to create a project in Foundry with a deployed gpt-4.1 model. Note down the Foundry project endpoint for later use.
 
 1. Navigate to your App Configuration store and add the following key-values. Leave **Label** with its default value. For more information about how to add key-values to a store using the Azure portal or the CLI, go to [Create a key-value](./quickstart-azure-app-configuration-create.md#create-a-key-value).
 
     | Key                            | Value                                                               | Content type                                 |
     |--------------------------------|---------------------------------------------------------------------|----------------------------------------------|
-    | *ChatAgent:ProjectEndpoint*    | *Paste the Azure AI project endpoint*                               |                                              |
+    | *ChatAgent:ProjectEndpoint*    | *Paste the Foundry project endpoint*                               |                                              |
     | *ChatAgent:Spec*               | *See YAML*                                                    |                                              |
 
 
diff --git a/articles/azure-netapp-files/azacsnap-cmd-ref-restore.md b/articles/azure-netapp-files/azacsnap-cmd-ref-restore.md
@@ -15,7 +15,7 @@ ms.author: phjensen
 This article provides a guide for running the restore command of the Azure Application Consistent Snapshot tool that you can use with Azure NetApp Files.
 
 > [!NOTE]
-> The restore command is only available for Azure Large Instance and Azure NetApp Files.  Any restores of Azure Managed Disk must be done using the Azure Portal or Azure CLI.
+> The restore command is only available for Azure Large Instance and Azure NetApp Files.  Any restores of Azure Managed Disk must be done using the Azure portal or Azure CLI.
     
 ## Introduction
 
diff --git a/articles/azure-netapp-files/join-active-directory-domain.md b/articles/azure-netapp-files/join-active-directory-domain.md
@@ -15,7 +15,7 @@ ms.author: anfdocs
 
 # Join a Linux VM to a Microsoft Entra Domain
 
-Joining a Linux virtual machine (VM) to an [Microsoft Entra Domain Services](../active-directory-domain-services/overview.md) managed domain enables users to sign into to VMs with one set of credentials. Once joined, the user accounts and credentials can be used to sign in, access, and manage servers. 
+Joining a Linux virtual machine (VM) to a [Microsoft Entra Domain Services](../active-directory-domain-services/overview.md) managed domain enables users to sign into to VMs with one set of credentials. Once joined, the user accounts and credentials can be used to sign in, access, and manage servers. 
 
 Refer to [Understand guidelines for Active Directory Domain Services site design and planning](understand-guidelines-active-directory-domain-service-site.md) to learn more about using Active Directory in Azure NetApp Files. 
 
diff --git a/articles/azure-netapp-files/object-rest-api-access-configure.md b/articles/azure-netapp-files/object-rest-api-access-configure.md
@@ -11,7 +11,7 @@ ms.author: anfdocs
 
 # Configure object REST API in Azure NetApp Files (preview)
 
-Azure NetApp Files supports access to S3 objects with the [object REST API](object-rest-api-introduction.md) feature. With the object REST API feature, you can connect to services including Azure AI Search, Azure AI Foundry, Azure Databricks, OneLake, and others.
+Azure NetApp Files supports access to S3 objects with the [object REST API](object-rest-api-introduction.md) feature. With the object REST API feature, you can connect to services including Azure AI Search, Microsoft Foundry, Azure Databricks, OneLake, and others.
 
 ## Register the feature 
 
diff --git a/articles/azure-netapp-files/object-rest-api-introduction.md b/articles/azure-netapp-files/object-rest-api-introduction.md
@@ -10,7 +10,7 @@ ms.author: anfdocs
 ---
 # Understand Azure NetApp Files object REST API (preview)
 
-Azure NetApp Files supports the Object REST API, an S3-compatible REST API. The object REST API extends your file-based storage, enabling native S3 read and write access. You can integrate Azure NetApp Files with services including Azure AI Search, Azure AI Foundry, Azure Databricks, OneLake and more.
+Azure NetApp Files supports the Object REST API, an S3-compatible REST API. The object REST API extends your file-based storage, enabling native S3 read and write access. You can integrate Azure NetApp Files with services including Azure AI Search, Microsoft Foundry, Azure Databricks, OneLake and more.
 
 Object REST API allows you to present the same data set as a file hierarchy or as objects in a bucket. To do so, object REST API creates buckets that allow S3 clients to read, write, and enumerate files in network attached storage (NAS) storage using S3 object requests. This mapping conforms to the NAS security configuration, observing file and directory access permissions.
 
diff --git a/articles/azure-netapp-files/whats-new.md b/articles/azure-netapp-files/whats-new.md
@@ -93,7 +93,7 @@ Azure NetApp Files is updated regularly. This article provides a summary about t
 
 * [Object REST API](object-rest-api-access-configure.md) (preview)
 
-    The [Object REST API (an S3-compatible REST API)](object-rest-api-introduction.md) on Azure NetApp Files bridges the gap between traditional file-based storage and modern cloud services, enabling you to use your existing data in new ways. With the Object REST API, you can seamlessly integrate Azure NetApp Files data with Microsoft Fabric, Azure AI services, and other Azure offerings without the need to move or replicate data. This unlocks new use cases such as advanced analytics, machine learning, and real-time business intelligence, while reducing costs and accelerating innovation.
+    The [Object REST API (an S3-compatible REST API)](object-rest-api-introduction.md) on Azure NetApp Files bridges the gap between traditional file-based storage and modern cloud services, enabling you to use your existing data in new ways. With the Object REST API, you can seamlessly integrate Azure NetApp Files data with Microsoft Fabric, Foundry Tools, and other Azure offerings without the need to move or replicate data. This unlocks new use cases such as advanced analytics, machine learning, and real-time business intelligence, while reducing costs and accelerating innovation.
 
     The Object REST API introduces native S3-compatible read/write access, allowing modern applications to interact with your data directly and efficiently. Enterprises benefit from simplified integration, enhanced productivity, and improved data security, as data remains in place and protected by Azure NetApp Files' robust security measures. This feature is ideal for organizations looking to leverage AI-driven insights, streamline workflows, and maintain compliance with industry standards. This feature is currently in preview.
 
diff --git a/articles/container-apps/ai-integration.md b/articles/container-apps/ai-integration.md
@@ -1,6 +1,6 @@
 ---
 title: AI integration with Azure Container Apps
-description: Examples for running AI workloads in Azure Container Apps, including GPU-powered inference, dynamic sessions, and deploying Azure AI Foundry models.
+description: Examples for running AI workloads in Azure Container Apps, including GPU-powered inference, dynamic sessions, and deploying Microsoft Foundry models.
 author: jefmarti
 ms.author: jefmarti
 ms.service: azure-container-apps
@@ -10,7 +10,7 @@ ms.topic: article
 
 # AI integration with Azure Container Apps
 
-Azure Container Apps is a serverless container platform that simplifies the deployment and scaling of microservices and AI-powered applications. With native support for GPU workloads, seamless integration with Azure AI services, and flexible deployment options, it is an ideal platform for building intelligent, cloud-native solutions.
+Azure Container Apps is a serverless container platform that simplifies the deployment and scaling of microservices and AI-powered applications. With native support for GPU workloads, seamless integration with Foundry Tools, and flexible deployment options, it is an ideal platform for building intelligent, cloud-native solutions.
 
 
 ## GPU-powered inference
@@ -29,9 +29,9 @@ Supported session types include:
 - **[Platform managed built-in containers](./sessions-code-interpreter.md)**: a platform-managed container that supports executing code in Python and Node.js.
 - **[Custom containers](./sessions-custom-container.md)**: create a sessions pool using a custom container for specialized workloads or additional language support.
 
-## Deploying Azure AI Foundry models
+## Deploying Microsoft Foundry models
 
-Azure Container Apps integrates with Azure AI Foundry, which enables you to deploy curated AI models directly into your containerized environments. This integration simplifies model deployment and management, making it easier to build intelligent applications on Container Apps.
+Azure Container Apps integrates with Foundry, which enables you to deploy curated AI models directly into your containerized environments. This integration simplifies model deployment and management, making it easier to build intelligent applications on Container Apps.
 
 ### Sample projects
 
diff --git a/articles/container-apps/aspire-dashboard.md b/articles/container-apps/aspire-dashboard.md
@@ -109,7 +109,7 @@ Refer to the following items if you have issues enabling your dashboard:
     This issue occurs because security group permissions do not propagate to the Container App Environment. To solve this problem, make sure you explicitly give yourself a *Contributor* or *Owner* role on your Container Apps environment. This can be done through the following steps:
   
     - **Navigate to the Resource:**
-        - Open the Azure Portal and search for your container app environment.
+        - Open the Azure portal and search for your container app environment.
     - **Access the Access Control (IAM) Blade:**
         - Click on _Access Control (IAM)_ for the container app environment.
     - **Verify Existing Role Assignments:**
diff --git a/articles/container-apps/gpu-serverless-overview.md b/articles/container-apps/gpu-serverless-overview.md
@@ -24,7 +24,7 @@ Serverless GPUs are supported only for Consumption workload profiles. The featur
 
 ## Benefits
 
-Serverless GPUs accelerate AI development by allowing you to focus on your core AI code and less on managing infrastructure when using GPUs. This feature provides a middle layer option between the [Azure AI model catalog](/azure/machine-learning/concept-model-catalog)'s serverless APIs and hosting models on managed compute.
+Serverless GPUs accelerate AI development by allowing you to focus on your core AI code and less on managing infrastructure when using GPUs. This feature provides a middle layer option between the [Foundry model catalog](/azure/machine-learning/concept-model-catalog)'s serverless APIs and hosting models on managed compute.
 
 The Container Apps serverless GPU support provides full data governance as your data never leaves the boundaries of your container while still providing a managed, serverless platform from which to build your applications.
 
@@ -152,7 +152,7 @@ You can significantly improve cold start times by enabling artifact streaming an
 
 ## Deploy Foundry models to serverless GPUs (preview)
 
-Azure Container Apps serverless GPUs now support Azure AI Foundry models in public preview. Azure AI Foundry Models have two deployment options:
+Azure Container Apps serverless GPUs now support Microsoft Foundry models in public preview. Foundry Models have two deployment options:
 
 - [**Serverless APIs**](/azure/ai-foundry/how-to/deploy-models-serverless?tabs=azure-ai-studio) which provide pay-as-you-go billing for some of the most popular models.
 
diff --git a/articles/container-apps/how-to-zone-redundancy.md b/articles/container-apps/how-to-zone-redundancy.md
@@ -25,7 +25,7 @@ To see which regions support Container Apps, see [Product Availability by Region
 
 ## Create a zone-redundant container app
 
-Use Azure Portal, Azure CLI, or PowerShell to create a zone-redundant container app.
+Use Azure portal, Azure CLI, or PowerShell to create a zone-redundant container app.
 
 # [Azure portal](#tab/portal)
 
diff --git a/articles/container-apps/java-petclinic-ai-tutorial.md b/articles/container-apps/java-petclinic-ai-tutorial.md
@@ -93,8 +93,8 @@ For information on the architectural details of this application, see [Java PetC
     (✓) Done: Virtual Network: vnet-my-first-ai (7.357s)
     (✓) Done: Container Registry: crb36onby7z5ooc (25.742s)
     (✓) Done: Azure OpenAI: openai-my-first-ai (25.324s)
-    (✓) Done: Azure AI Services Model Deployment: openai-my-first-ai/text-embedding-ada-002 (42.909s)
-    (✓) Done: Azure AI Services Model Deployment: openai-my-first-ai/gpt-4o (44.21s)
+    (✓) Done: Foundry Tools Model Deployment: openai-my-first-ai/text-embedding-ada-002 (42.909s)
+    (✓) Done: Foundry Tools Model Deployment: openai-my-first-ai/gpt-4o (44.21s)
     (✓) Done: Container Apps Environment: aca-env-my-first-ai (3m1.361s)
     (✓) Done: Container App: petclinic-ai (22.701s)
     
diff --git a/articles/container-apps/microservices-dapr-bindings.md b/articles/container-apps/microservices-dapr-bindings.md
@@ -201,7 +201,7 @@ Provisioning Azure resources can take some time.
 Subscription: <subscription-name> (aaaa0a0a-bb1b-cc2c-dd3d-eeeeee4e4e4e)
 Location: East US 2
 
-  You can view detailed progress in the Azure Portal:
+  You can view detailed progress in the Azure portal:
   https://portal.azure.com/#view/HubsExtension/DeploymentDetailsBlade/~/overview/id/%2Fsubscriptions%2Faaaa0a0a-bb1b-cc2c-dd3d-eeeeee4e4e4e%2Fproviders%2FMicrosoft.Resources%2Fdeployments%2F<environment-name>-1765294775
 
   (✓) Done: Resource group: rg-<environment-name> (1.258s)
@@ -440,7 +440,7 @@ Provisioning Azure resources can take some time.
 Subscription: <subscription-name> (aaaa0a0a-bb1b-cc2c-dd3d-eeeeee4e4e4e)
 Location: East US 2
 
-  You can view detailed progress in the Azure Portal:
+  You can view detailed progress in the Azure portal:
   https://portal.azure.com/#view/HubsExtension/DeploymentDetailsBlade/~/overview/id/%2Fsubscriptions%2Faaaa0a0a-bb1b-cc2c-dd3d-eeeeee4e4e4e%2Fproviders%2FMicrosoft.Resources%2Fdeployments%2F<environment-name>-1765297381
 
   (✓) Done: Resource group: rg-<environment-name> (2.56s)
@@ -677,7 +677,7 @@ Provisioning Azure resources can take some time.
 Subscription: <subscription-name> (aaaa0a0a-bb1b-cc2c-dd3d-eeeeee4e4e4e)
 Location: East US 2
 
-  You can view detailed progress in the Azure Portal:
+  You can view detailed progress in the Azure portal:
   https://portal.azure.com/#view/HubsExtension/DeploymentDetailsBlade/~/overview/id/%2Fsubscriptions%2Faaaa0a0a-bb1b-cc2c-dd3d-eeeeee4e4e4e%2Fproviders%2FMicrosoft.Resources%2Fdeployments%2F<environment-name>-1765302329
 
   (✓) Done: Resource group: rg-<environment-name> (5.064s)
diff --git a/articles/container-apps/microservices-dapr-pubsub.md b/articles/container-apps/microservices-dapr-pubsub.md
@@ -242,7 +242,7 @@ Provisioning Azure resources can take some time.
 Subscription: <subscription-name> (aaaa0a0a-bb1b-cc2c-dd3d-eeeeee4e4e4e)
 Location: East US 2
 
-  You can view detailed progress in the Azure Portal:
+  You can view detailed progress in the Azure portal:
   https://portal.azure.com/#view/HubsExtension/DeploymentDetailsBlade/~/overview/id/%2Fsubscriptions%2Faaaa0a0a-bb1b-cc2c-dd3d-eeeeee4e4e4e%2Fproviders%2FMicrosoft.Resources%2Fdeployments%2F<environment-name>-1764784426
 
   (✓) Done: Resource group: rg-<environment-name> (2.805s)
@@ -587,7 +587,7 @@ Provisioning Azure resources can take some time.
 Subscription: <subscription-name> (aaaa0a0a-bb1b-cc2c-dd3d-eeeeee4e4e4e)
 Location: East US 2
 
-  You can view detailed progress in the Azure Portal:
+  You can view detailed progress in the Azure portal:
   https://portal.azure.com/#view/HubsExtension/DeploymentDetailsBlade/~/overview/id/%2Fsubscriptions%2Faaaa0a0a-bb1b-cc2c-dd3d-eeeeee4e4e4e%2Fproviders%2FMicrosoft.Resources%2Fdeployments%2F<environment-name>-1764794886
 
   (✓) Done: Resource group: rg-<environment-name> (2.444s)
@@ -912,7 +912,7 @@ Provisioning Azure resources can take some time.
 Subscription: <subscription-name> (aaaa0a0a-bb1b-cc2c-dd3d-eeeeee4e4e4e)
 Location: East US 2
 
-  You can view detailed progress in the Azure Portal:
+  You can view detailed progress in the Azure portal:
   https://portal.azure.com/#view/HubsExtension/DeploymentDetailsBlade/~/overview/id/%2Fsubscriptions%2Faaaa0a0a-bb1b-cc2c-dd3d-eeeeee4e4e4e%2Fproviders%2FMicrosoft.Resources%2Fdeployments%2F<environment-name>-1764796579
 
   (✓) Done: Resource group: rg-<environment-name> (1.727s)
diff --git a/articles/container-apps/microservices-dapr-service-invoke.md b/articles/container-apps/microservices-dapr-service-invoke.md
diff --git a/articles/container-apps/quickstart-portal.md b/articles/container-apps/quickstart-portal.md
diff --git a/articles/security/fundamentals/customer-lockbox-overview.md b/articles/security/fundamentals/customer-lockbox-overview.md
diff --git a/articles/security/fundamentals/encryption-customer-managed-keys-support.md b/articles/security/fundamentals/encryption-customer-managed-keys-support.md
diff --git a/articles/security/fundamentals/feature-availability.md b/articles/security/fundamentals/feature-availability.md
diff --git a/articles/security/fundamentals/overview.md b/articles/security/fundamentals/overview.md
diff --git a/articles/security/fundamentals/secrets-best-practices.md b/articles/security/fundamentals/secrets-best-practices.md
diff --git a/articles/security/fundamentals/threat-detection.md b/articles/security/fundamentals/threat-detection.md
