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ms.author: mathapli
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---
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# Azure Confidential Clean Rooms (PREVIEW)
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# Azure Confidential Clean Rooms (Preview)
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> [!NOTE]
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> Azure Confidential Clean Rooms is currently in Limited Preview. The Preview is subject to the [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/). Customer should not use the Preview to process Personal Data or other data that is subject to legal or regulatory compliance requirements. The Preview is intended for testing, evaluation and feedback and should not be used in production.
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Azure Confidential Clean Rooms, aka ACCR, offers a protected environment that helps organizations overcome security and privacy challenges of using sensitive data for data analytics, AI model development and inferencing scenarios. Built on top of [Confidential containers or C-ACI](../confidential-computing/confidential-containers.md), ACCR helps secure the data and the model from exfiltration outside the clean room boundary.
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Organizations can safely collaborate and analyze data within the sandbox and use advanced privacy-enhancing features like protected governance & audit, protected collaboration, verifiable trust, differential privacy, and controlled access.
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Azure Confidential Clean Rooms, also known as ACCR, offers a protected environment that helps organizations overcome security and privacy challenges of using sensitive data for data analytics, AI model development, and inferencing scenarios. Built on top of [Confidential containers or C-ACI](../confidential-computing/confidential-containers.md), ACCR helps secure the data and the model from exfiltration outside the clean room boundary.
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Organizations can safely collaborate and analyze data within the sandbox and use advanced privacy-enhancing features like protected governance & audit, protected collaboration, verifiable trust, differential privacy, and controlled access.
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## Who could benefit from Azure Confidential Clean Rooms?
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Azure Confidential Clean Rooms could be a great choice for you if you have these scenarios:
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- Healthcare- In the healthcare industry, Azure Confidential Clean Rooms enable multi-party collaboration on sensitive patient data. For example, healthcare providers can use clean rooms to train and fine-tune AI/ML models for predictive diagnostics, personalized medicine, and clinical decision support. By using confidential computing, healthcare organizations can protect patient privacy while collaborating with other institutions to improve healthcare outcomes.
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ACCR can also be used for ML inferencing where partner hospitals can utilize the power of these models for early detection.
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- Advertising- In the advertising industry, Azure Confidential Clean Rooms facilitate data sharing between advertisers and publishers. ACCR enables targeted advertising and campaign effectiveness measurement without exposing sensitive user data.
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- Banking, Financial Services and Insurance (BFSI) - The BFSI sector can use Azure Confidential Clean Rooms to collaborate on financial data and comply with regulatory requirements. This enables financial institutions to perform joint data analysis and develop risk models, fraud detection models, and lending scenarios, among others, without exposing sensitive customer information.
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- Banking, Financial Services and Insurance (BFSI) - The BFSI sector can use Azure Confidential Clean Rooms to collaborate on financial data and comply with regulatory requirements. This capability enables financial institutions to perform joint data analysis and develop risk models, fraud detection models, and lending scenarios, among others, without exposing sensitive customer information.
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- Retail- In the retail industry, Azure Confidential Clean Rooms enable collaboration on customer data to enhance personalized marketing and inventory management. Retailers can use clean rooms to analyze customer behavior and preferences to create personalized marketing campaigns while maintaining data privacy.
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## Benefits
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:::image type="content" source="./media/confidential-clean-rooms/accr-benefits.png" alt-text="Diagram of Azure Confidential Clean Rooms benefits, showing zero trust, no data duplication of container workloads, and managed governance.":::
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:::image type="content" source="./media/confidential-clean-rooms/azure-confidential-clean-rooms-benefits.png" alt-text="Diagram of Azure Confidential Clean Rooms benefits, showing Verifiable Trust, no data duplication of container workloads, and managed governance.":::
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Azure Confidential Clean Rooms (ACCR) provides a protected environment for multi-party data collaboration. Built on [Confidential containers or C-ACI](../confidential-computing/confidential-containers.md), ACCR helps ensure that data remains protected throughout the collaboration process. Here are some key benefits of using Azure Confidential Clean Rooms:
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- Multiparty collaboration and governance:
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ACCR allows collaborators to create tamper-resistant contracts where constraints are enforced by ACCR. Governance helps ensure validity of constraints before allowing data to be released into clean rooms and drives transparency among collaborators by generating protected audit trails. ACCR uses the open-sourced [Confidential Consortium Framework](https://microsoft.github.io/CCF/main/overview/what_is_ccf.html) to enable these capabilities.
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ACCR allows collaborators to create tamper-resistant contracts. Governance helps ensure validity of constraints before allowing data to be released into clean rooms and drives transparency among collaborators by generating protected audit trails. ACCR uses the open-sourced [Confidential Consortium Framework](https://microsoft.github.io/CCF/main/overview/what_is_ccf.html) to enable these capabilities.
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- Compliance:
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Confidential computing can help meet certain regulatory and privacy concerns by providing a more secure environment for data collaboration. This capability can be beneficial for industries such as financial services, healthcare, and telecom, which deal with sensitive data and personal information
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- Enhanced data security:
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ACCR is built using confidential computing. This environment is sandboxed and helps in allowing authorized workloads to execute, and also helps in preventing unauthorized access to data or code during processing, and helping ensure that sensitive information remains secure.
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ACCR is built using confidential computing. This environment is sandboxed and helps in allowing authorized workloads to execute, and also helps in preventing unauthorized access to data or code during processing, and helping ensure that sensitive information remains secure.
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- Verifiable trust at each step with the help of cryptographic remote attestation forms the cornerstone of Azure Confidential Clean Rooms.
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:::image type="content" source="./media/confidential-clean-rooms/accr-illustration.png" alt-text="Diagram of Azure Confidential Clean Rooms benefits, showing all steps of clean room creation.":::
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:::image type="content" source="./media/confidential-clean-rooms/azure-confidential-clean-rooms-illustration.png" alt-text="Diagram of Azure Confidential Clean Rooms benefits, showing all steps of clean room creation.":::
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## Onboarding to Azure Confidential Clean Rooms
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Answer: You can find the clean room sample application [here](https://github.com/Azure-Samples/azure-cleanroom-samples). Please feel free to try out the sample after signing up for the Preview and receiving our response.
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- Question: Can more than two collaborators participate in a collaboration?
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Answer: Yes, more than two collaborators can become part of the collaboration. This allows multiple data providers to share data in the clean room.
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Answer: Yes, more than two collaborators can become part of the collaboration. ACCR allows multiple data providers to share data in the clean room.
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If you have questions about Azure Confidential Clean Rooms, reach out to <[email protected]>.
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