A data clean room is a neutral and secure environment that allows multiple companies, or divisions of a single company, to collaborate with data for joint analyses. Clean rooms often require pre-defined guidelines and restrictions to keep data usage aligned with privacy laws such as GDPR, CCPA, and HIPAA. In a data clean room, personally identifiable information (PII) or private health information (PHI) is anonymized, processed, and stored, allowing each partner to maintain control of their data. The primary benefit of a data clean room is that it allows partners to work with user-level data while preventing the data from being accessed outside of the clean room.
While clean rooms can be a useful tool for working with disparate data, they still require the clean room vendor to act as a trusted-third party, and because clean rooms are relatively new, there are currently no universal implementation standards. TripleBlind’s techniques allow for analysis and training of disparate datasets without the need to summarize, move, or store data with a trusted third-party –– reducing costs, optimizing processes, and delivering greater value from sensitive data.