Opaque Systems has announced new features in its confidential computing platform to protect the confidentiality of organizational data during large language model (LLM) use. Through new privacy-preserving generative AI and zero-trust data clean rooms (DCRs) optimized for Microsoft Azure confidential computing, Opaque said it also now enables organizations to securely analyze their combined confidential data without sharing or revealing the underlying raw data. Meanwhile, broader support for confidential AI use cases provides safeguards for machine learning and AI models to use encrypted data inside of trusted executions environments (TEEs), preventing exposure to unauthorized parties, according to Opaque.