Microsoft is announcing the preview of multiparty analytics with Azure Confidential Clean Rooms, resulting in fully managed service that allows customers and their partners to securely analyze privacy sensitive datasets with Apache Spark based big-data analytics (Spark SQL) in a confidential computing based environment which protects their raw data from other collaborators and from the Azure operator by performing the computation in a Trusted Execution Environment (TEE). Privacy sensitive datasets include personally identifiable information (PII), protected health information (PHI) and cryptographic secrets.
Organizations across industries are increasingly looking to supplement their data with data from business partners, to build a complete view of their business. For example, brands, publishers, and their partners need to collaborate using datasets containing Intellectual Property (IP) to improve the relevance of their campaigns. Data clean rooms help solve this challenge by allowing multiple organizations to share granular data and analyze combined datasets in a secure environment which provides guarantees against exfiltration of raw data.
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