microsoft / data-in-use-protection-workshop

A complete workshop content with a series of tracks and hands-on labs on various techniques to protect data in use.

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"Data in use Protection Compass" Workshop

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The so-called "Data in use Protection Compass" is a complete workshop that introduces various applicable techniques to help ensuring for your (most) sensitive data in use adequate levels of confidentiality and privacy as part of your Microsoft's cloud journey or in the Edge. It is designed to help you or your "customers" whoever they are select the best suited approach(es) depending on your and/or their ultimate goals and related requirements.

This project tries its best to share the big picture of the introduced domains and subjects that encompass many areas and disciplines, namely Confidential Computing (CC), Homomorphic Encryption (HE), Secure Multi-Party Computing (MPC), and Differential Drivacy (DP).

Workshop Common vs. Specific Tracks

This project contains the following Common vs. Specific Tracks:

  • Introduction
  • Overview of the Applicable Techniques: Confidential Computing (CC), Homomorphic Encryption (HE), Secure Multi-Party Computing (MPC), and Differential Privacy (DP)
  • Deeper View of the Confidential Computing (CC) Technique
  • Deeper View Homomorphic Encryption (HE) Technique
  • Perspectives and Use Cases

See related tracks.

Workshop Hands-On Labs

This project contains the following Hands-On Labs (HOLs):

  • Confidential Computing (CC) Hands-On Lab
  • Homomorphic Encryption (HE) Hands-On Lab

See available hands-on labs.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Legal Notices

Microsoft and any contributors grant you a license to the Microsoft documentation and other content in this repository under the Creative Commons Attribution 4.0 International Public License, see the LICENSE file, and grant you a license to any code in the repository under the MIT License, see the LICENSE-CODE file.

Microsoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries. The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks. Microsoft's general trademark guidelines can be found at http://go.microsoft.com/fwlink/?LinkID=254653.

Privacy information can be found at https://privacy.microsoft.com/en-us/

Microsoft and any contributors reserve all other rights, whether under their respective copyrights, patents, or trademarks, whether by implication, estoppel or otherwise.

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A complete workshop content with a series of tracks and hands-on labs on various techniques to protect data in use.

License:Creative Commons Attribution 4.0 International


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