Merge pull request #312438 from JKirsch1/foundry-rebrand-batch-11

denrea · web-flow · commit d7b94031e8a0 · 2026-03-13T14:03:04.000-07:00
[SCOPED] Foundry branding
diff --git a/articles/azure-resource-manager/bicep/bicep-mcp-server.md b/articles/azure-resource-manager/bicep/bicep-mcp-server.md
@@ -20,7 +20,7 @@ The Bicep MCP (Model Context Protocol) server provides AI agents with tools to h
 * **`list_avm_metadata`** - Lists metadata for all Azure Verified Modules (AVM).
 * **`list_az_resource_types_for_provider`** - Lists all Azure resource types for a specific provider, such as Microsoft.Storage.
 
-Use the Bicep MCP server directly in [Visual Studio Code](#visual-studio-code). You can also run it locally with [MCP-compatible services](#integration-with-other-foundry-tools).
+Use the Bicep MCP server directly in [Visual Studio Code](#visual-studio-code). You can also run it locally with [MCP-compatible services](#integration-with-other-ai-services).
 
 ## Limitations
 
@@ -35,7 +35,7 @@ There's no way to definitively guarantee whether the agent orchestrator uses any
 
 The Bicep MCP server is available starting with Visual Studio Code Bicep extension version 0.40.2. For more information about installing, managing, and using Bicep MCP server from VS Code, see [Bicep MCP server](./visual-studio-code.md#bicep-mcp-server).
 
-## Integration with other Foundry Tools
+## Integration with other AI services
 
 You can run the Azure Bicep MCP server locally for Claude Desktop and Code, OpenAI Codex CLI, and LMStudio where you can use it with various models.
 
diff --git a/articles/communication-services/concepts/ai.md b/articles/communication-services/concepts/ai.md
@@ -57,5 +57,5 @@ Similar to Azure Communication Services messaging, there are REST APIs for many
 - **[Call Automation REST APIs and SDKs](../concepts/call-automation/call-automation.md)**: Services and AI applications  use Call Automation REST APIs to answer, route, and manage all types of Azure voice and video calls.
 - **[Service-to-service audio streaming](../concepts/call-automation/audio-streaming-concept.md)**: AI applications use Azure's service-to-service WebSockets API to stream audio data. This works in both directions, your AI can listen to a call, and speak.
 - **[Service-to-service real-time transcription](../concepts/call-automation/real-time-transcription.md)**: AI applications use Azure's service-to-service WebSockets API to stream a real-time, Azure-generated transcription. Compared to audio or video content, transcript data is often easier for AI models to reason upon.
-- **[Call recording](../concepts/voice-video-calling/call-recording.md)**: You can record Azure calls in your own datastore and then direct Foundry Tools to process that content.
+- **[Call recording](../concepts/voice-video-calling/call-recording.md)**: You can record Azure calls in your own datastore and then direct the AI service to process that content.
 - **[Client raw audio and video](../concepts/voice-video-calling/media-access.md)**: The Calling client SDK provides APIs for accessing and modifying the raw audio and video feed. An example scenario is taking the video feed, using computer vision to distinguish the human speaker from their background, and customizing that background.
diff --git a/articles/communication-services/how-tos/call-automation/includes/audio-streaming-quickstart-csharp.md b/articles/communication-services/how-tos/call-automation/includes/audio-streaming-quickstart-csharp.md
@@ -159,7 +159,7 @@ When DTMF is enabled Azure Communication Services sends a `DtmfData` type.
 ## Sending audio streaming data to Azure Communication Services
 If bidirectional streaming is enabled using the `EnableBidirectional` flag in the `MediaStreamingOptions`, you can stream audio data back to Azure Communication Services, which plays the audio into the call.
 
-Once Azure Communication Services begins streaming audio to your WebSocket server, you can relay the audio to your Foundry Tools. After your Foundry Tool processes the audio content, you can stream the audio back to the ongoing call in Azure Communication Services.
+Once Azure Communication Services begins streaming audio to your WebSocket server, you can relay the audio to your AI services. After your AI service processes the audio content, you can stream the audio back to the ongoing call in Azure Communication Services.
 
 The example demonstrates how another service, such as Azure OpenAI or other voice-based Large Language Models, processes and transmits the audio data back into the call.
 
diff --git a/articles/communication-services/how-tos/call-automation/includes/audio-streaming-quickstart-java.md b/articles/communication-services/how-tos/call-automation/includes/audio-streaming-quickstart-java.md
@@ -143,7 +143,7 @@ When DTMF is enabled Azure Communication Services sends a `DtmfData` type.
 ## Sending audio streaming data to Azure Communication Services
 If bidirectional streaming is enabled using the `EnableBidirectional` flag in the `MediaStreamingOptions`, you can stream audio data back to Azure Communication Services, which plays the audio into the call.
 
-Once Azure Communication Services begins streaming audio to your WebSocket server, you can relay the audio to your Foundry Tools. After your Foundry Tool processes the audio content, you can stream the audio back to the ongoing call in Azure Communication Services.
+Once Azure Communication Services begins streaming audio to your WebSocket server, you can relay the audio to your AI services. After your AI service processes the audio content, you can stream the audio back to the ongoing call in Azure Communication Services.
 
 The example demonstrates how another service, such as Azure OpenAI or other voice-based Large Language Models, processes and transmits the audio data back into the call.
 
diff --git a/articles/communication-services/how-tos/call-automation/includes/audio-streaming-quickstart-js.md b/articles/communication-services/how-tos/call-automation/includes/audio-streaming-quickstart-js.md
@@ -184,7 +184,7 @@ When DTMF is enabled Azure Communication Services sends a `DtmfData` type.
 ## Sending audio streaming data to Azure Communication Services
 If bidirectional streaming is enabled using the `EnableBidirectional` flag in the `MediaStreamingOptions`, you can stream audio data back to Azure Communication Services, which plays the audio into the call.
 
-Once Azure Communication Services begins streaming audio to your WebSocket server, you can relay the audio to your Foundry Tools. After your Foundry Tool processes the audio content, you can stream the audio back to the ongoing call in Azure Communication Services.
+Once Azure Communication Services begins streaming audio to your WebSocket server, you can relay the audio to your AI services. After your AI service processes the audio content, you can stream the audio back to the ongoing call in Azure Communication Services.
 
 The example demonstrates how another service, such as Azure OpenAI or other voice-based Large Language Models, processes and transmits the audio data back into the call.
 
diff --git a/articles/communication-services/how-tos/call-automation/includes/audio-streaming-quickstart-python.md b/articles/communication-services/how-tos/call-automation/includes/audio-streaming-quickstart-python.md
@@ -156,7 +156,7 @@ When DTMF is enabled Azure Communication Services sends a `DtmfData` type.
 ## Sending audio streaming data to Azure Communication Services
 If bidirectional streaming is enabled using the `EnableBidirectional` flag in the `MediaStreamingOptions`, you can stream audio data back to Azure Communication Services, which plays the audio into the call.
 
-Once Azure Communication Services begins streaming audio to your WebSocket server, you can relay the audio to your Foundry Tools. After your Foundry Tool processes the audio content, you can stream the audio back to the ongoing call in Azure Communication Services.
+Once Azure Communication Services begins streaming audio to your WebSocket server, you can relay the audio to your AI services. After your AI service processes the audio content, you can stream the audio back to the ongoing call in Azure Communication Services.
 
 The example demonstrates how another service, such as Azure OpenAI or other voice-based Large Language Models, processes and transmits the audio data back into the call.
 
diff --git a/articles/confidential-computing/confidential-ai.md b/articles/confidential-computing/confidential-ai.md
@@ -1,7 +1,7 @@
 ---
 title: Confidential AI
 titleSuffix: Azure Confidential Computing
-description: Confidential Foundry Tools and solutions
+description: Confidential AI services and solutions
 services: virtual-machines
 author: kapilv
 ms.service: azure-confidential-computing
diff --git a/articles/connectors/built-in.md b/articles/connectors/built-in.md
@@ -362,13 +362,13 @@ Azure Logic Apps provides the following built-in actions for working with data o
         [![Data Operations icon][data-operations-icon]][data-operations-doc]
         <br><br>[**Data Operations**][data-operations-doc]
         <br><br>Perform operations with data.
-        <br><br>**Chunk text**: Split up content into pieces to use in AI solutions or with Foundry Tool operations such as [Azure OpenAI and Azure AI Search operations](../logic-apps/connectors/azure-ai.md). For more information, see [Parse or chunk content](../logic-apps/parse-document-chunk-text.md).
+        <br><br>**Chunk text**: Split up content into pieces to use in AI solutions or with Foundry Tools operations such as [Azure OpenAI and Azure AI Search operations](../logic-apps/connectors/azure-ai.md). For more information, see [Parse or chunk content](../logic-apps/parse-document-chunk-text.md).
         <br><br>**Compose**: Create a single output from multiple inputs with various types.
         <br><br>**Create CSV table**: Create a comma-separated-value (CSV) table from an array with JSON objects.
         <br><br>**Create HTML table**: Create an HTML table from an array with JSON objects.
         <br><br>**Filter array**: Create an array from items in another array that meet your criteria.
         <br><br>**Join**: Create a string from all items in an array and separate those items with the specified delimiter.
-        <br><br>**Parse a document**: Create a tokenized string to use in AI solutions or with Foundry Tool operations such as [Azure OpenAI and Azure AI Search operations](../logic-apps/connectors/azure-ai.md). For more information, see [Parse or chunk content](../logic-apps/parse-document-chunk-text.md).
+        <br><br>**Parse a document**: Create a tokenized string to use in AI solutions or with Foundry Tools operations such as [Azure OpenAI and Azure AI Search operations](../logic-apps/connectors/azure-ai.md). For more information, see [Parse or chunk content](../logic-apps/parse-document-chunk-text.md).
         <br><br>**Parse JSON**: Create user-friendly tokens from properties and their values in JSON content so that you can use those properties in your workflow.
         <br><br>**Select**: Create an array with JSON objects by transforming items or values in another array and mapping those items to specified properties.
     :::column-end:::
diff --git a/articles/digital-twins/overview.md b/articles/digital-twins/overview.md
@@ -23,7 +23,7 @@ Take advantage of your domain expertise on top of Azure Digital Twins to build c
 * Connect assets such as IoT devices and existing business systems, using a robust event system to build dynamic business logic and data processing
 * Query the live execution environment to extract real-time insights from your twin graph
 * Build connected 3D visualizations of your environment that display business logic and twin data in context
-* Query historized environment data and integrate with other Azure data, analytics, and Foundry Tools to better track the past and predict the future
+* Query historized environment data and integrate with other Azure data, analytics, and AI services to better track the past and predict the future
 
 ## Define your business environment
 
diff --git a/articles/digital-twins/quickstart-azure-digital-twins-explorer.md b/articles/digital-twins/quickstart-azure-digital-twins-explorer.md
@@ -226,7 +226,7 @@ The intent of this exercise is to demonstrate how you can use the Azure Digital
 
 In this quickstart, you made the temperature update manually. It's common in Azure Digital Twins to connect digital twins to real IoT devices so that they receive updates automatically, based on device data. You can also [connect other data sources](concepts-data-ingress-egress.md#data-ingress), integrating data from different systems and defining your own logic for how twins are updated. In this way, you can build a live graph that always reflects the real state of your environment. You can use queries to get information about what's happening in your environment in real time.
 
-You can also export Azure Digital Twins data to historical tracking, data analytics, and Foundry Tools to enable greater insights and perform environment simulations. Integrating Azure Digital Twins into your IoT solutions can help you more effectively track the past, control the present, and predict the future.
+You can also export Azure Digital Twins data to historical tracking, data analytics, and AI services to enable greater insights and perform environment simulations. Integrating Azure Digital Twins into your IoT solutions can help you more effectively track the past, control the present, and predict the future.
 
 ## Clean up resources
 
diff --git a/articles/healthcare-apis/release-notes-2023.md b/articles/healthcare-apis/release-notes-2023.md
@@ -60,7 +60,7 @@ Learn more:
 
 #### Unified Azure portal landing page 
 
-In the Azure portal, we launched a unified landing page that lets users access all Microsoft Health Data and Foundry Tools in one place. The landing page makes it easier to find and use all related Health Data and Foundry Tools and includes links to relevant documentation to help users get started. To check out the landing page, sign into your Azure subscription and then search for **Health Data and AI Services**.
+In the Azure portal, we launched a unified landing page that lets users access all Microsoft Health Data and AI Services in one place. The landing page makes it easier to find and use all related Health Data and AI Services and includes links to relevant documentation to help users get started. To check out the landing page, sign into your Azure subscription and then search for **Health Data and AI Services**.
 
 ### FHIR service
 
diff --git a/articles/iot-edge/iot-edge-as-gateway.md b/articles/iot-edge/iot-edge-as-gateway.md
@@ -27,7 +27,7 @@ The transparent and translation gateway patterns aren't mutually exclusive. A si
 
 All gateway patterns provide the following benefits:
 
-* **Analytics at the edge** - Use Foundry Tools locally to process data coming from downstream devices without sending full-fidelity telemetry to the cloud. Find and react to insights locally and only send a subset of data to IoT Hub.
+* **Analytics at the edge** - Use AI services locally to process data coming from downstream devices without sending full-fidelity telemetry to the cloud. Find and react to insights locally and only send a subset of data to IoT Hub.
 * **Connected device isolation** - The gateway device shields all connected devices from exposure to the internet. It sits between an operational technology (OT) network that doesn't have connectivity and an information technology (IT) network that provides access to the web. Similarly, devices that don't have the capability to connect to IoT Hub on their own can connect to a gateway device instead.
 * **Connection multiplexing** - All devices connecting to IoT Hub through an IoT Edge gateway can use the same underlying connection. This multiplexing capability requires that the IoT Edge gateway uses AMQP as its cloud-bound protocol.
 * **Traffic smoothing** - The IoT Edge device automatically implements exponential backoff if IoT Hub throttles traffic, while persisting the messages locally. This benefit makes your solution resilient to spikes in traffic.
diff --git a/articles/operator-service-manager/azure-operator-service-manager-overview.md b/articles/operator-service-manager/azure-operator-service-manager-overview.md
@@ -81,7 +81,7 @@ Services installed on the customer edge cluster undergo rigorous security testin
 Achieve continuous integration and continuous delivery (CI/CD) by combining Azure Operator Service Manager with Azure DevOps. 
 * Pull new software releases directly from the latest repository.
 * Deploy by using Azure safe practices, and scale from one site to thousands of sites.
-* Integrate with any Azure analytics or Foundry Tools, including Microsoft Fabric, Azure Data Explorer, Azure Logic Apps, and Microsoft Copilot.
+* Integrate with any Azure analytics or AI services, including Microsoft Fabric, Azure Data Explorer, Azure Logic Apps, and Microsoft Copilot.
 
 Go further by influencing workflow decisions with data-driven insights and actions. 
 
diff --git a/articles/signups/overview.md b/articles/signups/overview.md
@@ -120,7 +120,7 @@ No, startup credits can't be shared or merged with multiple accounts.
 
 ### How can I get more Azure credits?
 
-If your startup is affiliated with the Microsoft for Startups Investor Network, you may be eligible for a higher level of support from Microsoft for Startups. This includes enhanced benefits, increased Azure credits, access to advanced Foundry Tools, expert technical guidance, and go-to-market support–all designed to help you build faster, scale smarter, and reach more customers.
+If your startup is affiliated with the Microsoft for Startups Investor Network, you may be eligible for a higher level of support from Microsoft for Startups. This includes enhanced benefits, increased Azure credits, access to advanced AI services, expert technical guidance, and go-to-market support–all designed to help you build faster, scale smarter, and reach more customers.
 
 Learn more about [Microsoft for Startups](/microsoft-for-startups/).
 
@@ -129,7 +129,7 @@ Learn more about [Microsoft for Startups](/microsoft-for-startups/).
 Microsoft is committed to supporting startups at every stage. We offer two paths to get started with Azure:
 
 - Azure startup credit offer - Open to all eligible startups with no application required. This offer provides up to $5,000 USD in Azure credits, with $1,000 available immediately to explore the latest AI models and start building on Azure.
-- Microsoft for Startups - Designed for startups affiliated with the Microsoft for Startups Investor Network, this program offers enhanced benefits designed to help you build faster, scale smarter, and reach more customers. Benefits include increased Azure credits, access to advanced Foundry Tools, expert technical guidance, and go-to-market support to help drive visibility and growth.
+- Microsoft for Startups - Designed for startups affiliated with the Microsoft for Startups Investor Network, this program offers enhanced benefits designed to help you build faster, scale smarter, and reach more customers. Benefits include increased Azure credits, access to advanced AI services, expert technical guidance, and go-to-market support to help drive visibility and growth.
 
 ### How do I switch back to the default Azure portal homepage?
 
diff --git a/articles/spring-apps/enterprise/quickstart-fitness-store-azure-openai.md b/articles/spring-apps/enterprise/quickstart-fitness-store-azure-openai.md
@@ -82,7 +82,7 @@ To add AI to the application, create an Azure OpenAI account and deploy language
 
 Use the following steps to create, configure, and deploy the Assist Service application to Azure Spring Apps.
 
-1. Use the following command to create the new Foundry Tool, `assist-service`:
+1. Use the following command to create the new AI service, `assist-service`:
 
    ```azurecli
    az spring app create \
diff --git a/articles/spring-apps/includes/security-note.md b/articles/spring-apps/includes/security-note.md
@@ -8,4 +8,4 @@ ms.update-cycle: 1095-days
 ---
 
 > [!NOTE]
-> Microsoft recommends using the most secure authentication flow available. The authentication flow described in this procedure, such as for databases, caches, messaging, or Foundry Tools, requires a very high degree of trust in the application and carries risks not present in other flows. Use this flow only when more secure options, like managed identities for passwordless or keyless connections, are not viable. For local machine operations, prefer user identities for passwordless or keyless connections.
+> Microsoft recommends using the most secure authentication flow available. The authentication flow described in this procedure, such as for databases, caches, messaging, or AI services, requires a very high degree of trust in the application and carries risks not present in other flows. Use this flow only when more secure options, like managed identities for passwordless or keyless connections, are not viable. For local machine operations, prefer user identities for passwordless or keyless connections.
