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UC Berkeley’s RISELab announces the MC² Project, a collection of open-source tools for computing and collaborating on confidential data. Gartner predicts that by 2025, 50% of large organizations will adopt privacy-enhancing computation for processing data in untrusted environments and multiparty data analytics use cases. The data in use remains hidden from the server running the job, allowing confidential workloads to be offloaded to third parties or cloud providers. This not only protects confidential data from intrusions but also enables secure collaboration.