Secure data sharing needs secure processing

Another area where confidential computing fits naturally is data sharing. The EU Data Governance Act introduces the concept of secure processing environments: physical or virtual environments, combined with organizational measures, that allow data to be used while maintaining legal requirements around confidentiality, integrity, access, and supervision. This is the exact kind of problem confidential computing was built to help solve. Many organizations want to collaborate on sensitive data without exposing raw datasets more broadly than necessary. Healthcare researchers want to analyze patient data.

Public sector bodies want to reuse data for policy and planning. Financial institutions want to collaborate on fraud detection. Companies want to run analytics across commercial datasets without revealing more than the computation requires. In these cases, the question is not only “is the database encrypted? ” The question is “can the processing environment itself be trusted?

” Confidential computing can help create stronger technical boundaries for these environments. It can support attestation before data access, reduce exposure to infrastructure administrators and help organizations design systems where sensitive data can be used with fewer parties in the trusted computing base. That makes it highly relevant to data spaces, data clean rooms, and regulated analytics.