

Turn off confidentiality Turn on confidentialityĮvery change from regular to confidential and vice versa, is indicated by a A popup should appear and give you the option to turn on or turn off confidentiality. The second way is to locate the Confidentiality section in the sidebar and selectĮdit. The first way is to edit the issue and toggle the confidentiality checkbox.Īfter you save the issue, the confidentiality of the issue is updated. There are two ways to change an issue’s confidentiality. Contributed projects does not show information about the confidential issue it only shows the project name. When you create a confidential issue in a project, the project becomes listed in the Contributed projects section in your profile. For existing issues, edit them, check theĬonfidential checkbox and select Save changes. When you create a new issue, a checkbox right below the text area is available You can make an issue confidential when you create or edit an issue. Keep security vulnerabilities private or prevent surprises from leaking out. Permissions and access to confidential issuesĬonfidential issues are issues visible only to members of a project withĬonfidential issues can be used by open source projects and companies alike to.One is the availability of newer technology such as SEV-SNP and TDX across different regions and services, while another is performance. This removes the need for data providers to anonymize the data before sharing it with researchers, he claimed.Ĭoincidentally, Microsoft is working with Nvidia to enable confidential processing for such applications with its H100 GPU hardware, Russinovich said.īut there are still challenges to adoption, he claimed. Researchers have been hampered because of strict regulations regarding the sharing of personal health information (PHI), according to Russinovich, but confidential computing can address this because the data is protected not just at rest, but also while in use. Regardless, Russinovich made clear his thoughts on the subject: "I believe that this architecture is the future of advertising." Drugs and developmentĪnother multi-party use case involves confidential computing and machine learning to accelerate the development of new drugs, he suggested. Collecting and archiving information for statistical purposes is allowed, we note. We suspect that though these arrangements may work in North America, you'd have to take care to stay on the right side of Europe's data protection rules, which discourage the use of personal information for applications other than that which it was collected for.

Can confidential computing stop the next crypto heist?Īccording to Russinovich, the Royal Bank of Canada (RBC) has already set up a clean room where they can take purchasing data from merchants and combine it with their own information about consumers' credit card transactions to get a "fuller picture" of their behavior, without RBC seeing or revealing any confidential information from the consumers or the merchants.Intel patches up SGX best it can after another load of security holes found.Civo, Intel stuff Kubernetes inside a secure enclave.Microsoft opens Azure confidential containers to public preview.The bad news – if you are a consumer – is that this allows for scenarios where companies can more easily target you with pitches that are tailored to you personally because confidential computing can potentially overcome some of the regulatory and privacy concerns around organizations sharing sensitive data with third parties. One scenario Russinovich highlighted is multi-party computation and analytics, whereby several users can bring their data together in what he labeled "data clean rooms," and analyzed privately and securely to produce results "much richer than what they would have gotten off their own data set alone," he said.
#Web confidential code
This called for the code to be reworked in order to run inside the secure enclave, Russinovich said, whereas newer technology including the Secure Encrypted Virtualization-Secure Nested Paging ( SEV-SNP) in AMD's Epyc chips and Intel's Trust Domain Extensions ( TDX) allow users to lift and shift sensitive workloads unaltered into a protected virtual machine, which is intended to make it easier for customers to adopt.Īs far as adoption goes, Microsoft said it is being it taken up initially by organizations operating in regulated industries in the public sector, healthcare, and financial services, as might be expected.
