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articles/ai-services/cognitive-services-custom-subdomains.md

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ms.service: azure-ai-services
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ms.custom: devx-track-azurecli
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ms.topic: conceptual
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ms.date: 10/30/2024
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ms.date: 05/01/2025
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ms.author: pafarley
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---
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# Custom subdomain names for Azure AI services
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Starting in July 2019, Azure AI services use custom subdomain names for each resource created through the [Azure portal](https://portal.azure.com), [Azure Cloud Shell](https://azure.microsoft.com/features/cloud-shell/), or [Azure CLI](/cli/azure/install-azure-cli). Unlike regional endpoints, which were common for all customers in a specific Azure region, custom subdomain names are unique to the resource. Custom subdomain names are required to enable features like Microsoft Entra ID for authentication.
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Since July 2019, new Azure AI service resources use custom subdomain names when created through the [Azure portal](https://portal.azure.com), [Azure Cloud Shell](https://azure.microsoft.com/features/cloud-shell/), or [Azure CLI](/cli/azure/install-azure-cli). Unlike regional endpoints, which were common for all customers in a specific Azure region, custom subdomain names are unique to the resource. Custom subdomain names are required to enable features like Microsoft Entra ID for authentication.
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## How does this impact existing resources?
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Azure AI services resources created before July 1, 2019, use the regional endpoints for the associated service. These endpoints work with existing and new resources.
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Azure AI services resources created before July 1, 2019 use the regional endpoints for the associated service. These endpoints work with existing and new resources.
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If you'd like to migrate an existing resource to use custom subdomain names to enable features like Microsoft Entra ID, follow these instructions:
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articles/ai-services/cognitive-services-support-options.md

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ms.date: 05/01/2025
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---
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# Azure AI services support and help options
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Are you just starting to explore the functionality of Azure AI services? Perhaps you're implementing a new feature in your application. Or after using the service, do you have suggestions on how to improve it? Here are options for where you can get support, stay up-to-date, give feedback, and report bugs for Azure AI services.
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Here are the options for getting support, staying up to date, giving feedback, and reporting bugs for Azure AI services.
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## Get solutions to common issues
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* [Azure AI services](/answers/topics/azure-cognitive-services.html)
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**Azure OpenAI**
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* [Azure OpenAI](/answers/topics/azure-openai.html)
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**Vision**
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* [Azure AI Vision](/answers/topics/azure-computer-vision.html)
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* [Azure AI Metrics Advisor](/answers/topics/148981/azure-metrics-advisor.html)
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* [Azure AI Personalizer](/answers/topics/azure-personalizer.html)
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**Azure OpenAI**
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* [Azure OpenAI](/answers/topics/azure-openai.html)
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## Post a question to Stack Overflow
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<div class='icon is-large'>
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<img alt='Stack Overflow' src='/media/logos/logo_stackoverflow.svg'>
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</div>
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For answers on your developer questions from the largest community developer ecosystem, ask your question on Stack Overflow.
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For answers to your developer questions from the largest community developer ecosystem, ask your question on Stack Overflow.
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If you do submit a new question to Stack Overflow, use one or more of the following tags when you create the question:
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If you submit a new question to Stack Overflow, use one or more of the following tags when you create the question:
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* [Azure AI services](https://stackoverflow.com/questions/tagged/azure-cognitive-services)
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**Azure OpenAI**
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* [Azure OpenAI](https://stackoverflow.com/search?q=azure+openai)
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**Vision**
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* [Azure AI Vision](https://stackoverflow.com/search?q=azure+computer+vision)
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* [Azure AI Metrics Advisor](https://stackoverflow.com/search?q=azure+metrics+advisor)
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* [Azure AI Personalizer](https://stackoverflow.com/search?q=azure+personalizer)
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**Azure OpenAI**
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* [Azure OpenAI](https://stackoverflow.com/search?q=azure+openai)
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## Submit feedback
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articles/ai-services/encryption/cognitive-services-encryption-keys-portal.md

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articles/ai-services/responsible-use-of-ai-overview.md

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# Responsible use of AI with Azure AI services
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Azure AI services provides information and guidelines on how to responsibly use artificial intelligence in applications. Below are the links to articles that provide this guidance for the specific services within the Azure AI services suite.
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Azure AI services provides information and guidelines on how to responsibly use artificial intelligence in applications. Below are the articles that provide this guidance for the specific services within the Azure AI services suite.
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## Generative AI
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- [Azure OpenAI](/legal/cognitive-services/openai/transparency-note?context=/azure/ai-services/openai/context/context)

articles/ai-services/security-features.md

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| [Customer Lockbox](/azure/security/fundamentals/customer-lockbox-overview) |The Customer Lockbox feature provides an interface for customers to review and approve or reject data access requests. It's used in cases where a Microsoft engineer needs to access customer data during a support request. For information on how Customer Lockbox requests are initiated, tracked, and stored for later reviews and audits, see the [Customer Lockbox guide](/azure/security/fundamentals/customer-lockbox-overview).<br/><br/>Customer Lockbox is available for the following services:<ul><li>Azure OpenAI</li><li>Translator</li><li>Conversational language understanding</li><li>Custom text classification</li><li>Custom named entity recognition</li><li>Orchestration workflow</li></ul>|
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| [Bring your own storage (BYOS)](./speech-service/speech-encryption-of-data-at-rest.md)| The Speech service doesn't currently support Customer Lockbox. However, you can arrange for your service-specific data to be stored in your own storage resource using bring-your-own-storage (BYOS). BYOS allows you to achieve similar data controls to Customer Lockbox. Keep in mind that Speech service data stays and is processed in the Azure region where the Speech resource was created. This applies to any data at rest and data in transit. For customization features like Custom Speech and Custom Voice, all customer data is transferred, stored, and processed in the same region where the Speech service resource and BYOS resource (if used) reside.<br/><br/>To use BYOS with Speech, follow the [Speech encryption of data at rest](./speech-service/speech-encryption-of-data-at-rest.md) guide.<br/><br/>Microsoft doesn't use customer data to improve its Speech models. Additionally, if endpoint logging is disabled and no customizations are used, then no customer data is stored by Speech. |
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## Next steps
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## Next step
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* Explore [Azure AI services](./what-are-ai-services.md) and choose a service to get started.

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