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update studio to foundry
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articles/communication-services/quickstarts/router/job-router-azure-openai-integration.md

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:::image type="content" source="./media/function-select-subscription.png" alt-text="Screenshot of selecting subscription in VS Code.":::
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3. Once your Function App is created, right-click on your App and select 'Deploy Function App...'
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4. Open the Azure portal and go to your Azure OpenAI resource, then go to Azure AI Studio. From here, navigate to the Deployments tab and select "+ Create new deployment"
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4. Open the Azure portal and go to your Azure OpenAI resource, then go to the Azure AI Foundry portal. From here, navigate to the Deployments tab and select "+ Create new deployment"
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1. Select a model that can perform completions
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[Azure OpenAI Service models](/azure/ai-services/openai/concepts/models)

articles/communication-services/samples/email-detect-sensitive-content.md

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- [Quickstart: Detect Personally Identifying Information (PII) in text](/azure/ai-services/language-service/personally-identifiable-information/quickstart)
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- [Quickstart: Moderate text and images with content safety in Azure AI Studio](/azure/ai-studio/quickstarts/content-safety)
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- [Quickstart: Moderate text and images with content safety in Azure AI Foundry portal](/azure/ai-studio/quickstarts/content-safety)
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## Prerequisite check
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## Next steps
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- Learn more about [Azure Communication Services](../overview.md).
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- Learn more about [Azure AI Studio](/azure/ai-studio/).
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- Learn more about [Azure AI Foundry](/azure/ai-studio/).

articles/security/fundamentals/encryption-customer-managed-keys-support.md

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|---|---|---|---|---|
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| [Azure AI Search](/azure/search/) | Yes | | [Configure customer-managed keys for data encryption in Azure AI Search](/azure/search/search-security-manage-encryption-keys) |
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| [Azure AI services](/azure/ai-services/) | Yes | Yes | [Customer-managed keys for encryption](/azure/ai-services/encryption/cognitive-services-encryption-keys-portal) |
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| [Azure AI Studio](/azure/ai-studio) | Yes | | [Encryption of data at rest in Azure AI services](/azure/ai-studio/concepts/encryption-keys-portal) |
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| [Azure AI Foundry](/azure/ai-studio) | Yes | | [Encryption of data at rest in Azure AI services](/azure/ai-studio/concepts/encryption-keys-portal) |
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| [Azure Bot Service](/azure/bot-service/) | Yes | | [Encryption of bot data in Azure Bot Service](/azure/bot-service/bot-service-encryption) |
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| [Azure Health Bot](/azure/health-bot/) | Yes | | [Configure customer-managed keys (CMK) for Azure Health Bot](/azure/health-bot/cmk) |
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| [Azure Machine Learning](/azure/machine-learning/) | Yes | | [Customer-managed keys for workspace encryption in Azure Machine Learning](/azure/machine-learning/concept-customer-managed-keys) |

articles/web-application-firewall/afds/protect-azure-open-ai.md

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1. Create an Azure OpenAI instance and deploy a gpt-35-turbo model using [Create and deploy an Azure OpenAI Service resource](/azure/ai-services/openai/how-to/create-resource).
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1. Identify the Azure OpenAI endpoint and the API key.
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Open the Azure OpenAI studio and open the **Chat** option under **Playground**.
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Open the Azure OpenAI service in the Azure AI Foundry portal and open the **Chat** option under **Playground**.
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Use the **View code** option to display the endpoint and the API key.
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:::image type="content" source="../media/protect-azure-open-ai/view-code.png" alt-text="Screenshot showing Azure AI Studio Chat playground." lightbox="../media/protect-azure-open-ai/view-code.png":::
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:::image type="content" source="../media/protect-azure-open-ai/view-code.png" alt-text="Screenshot showing the Azure AI Foundry portal Chat playground." lightbox="../media/protect-azure-open-ai/view-code.png":::
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<br>
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:::image type="content" source="../media/protect-azure-open-ai/sample-code.png" alt-text="Screenshot showing Azure OpenAI sample code with Endpoint and Key.":::
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