Confidential computing: the final frontier of data security

Data threats never rest, nor should the protection of your sensitive information. That's the driving principle behind confidential computing, which seeks to plug a potentially crippling hole in data security. Confidential computing provides a secure platform for multiple parties to combine, analyze and learn from sensitive data without exposing their data or machine learning algorithms to the other party. This technique goes by several names -- multiparty computing, federated learning and privacy-preserving analytics, among them -- and confidential computing can enable this type of collaboration while preserving privacy and regulatory compliance. Data exists in three states: in transit when it is moving through the network; at rest when stored; and in use as it's being processed.