Opaque Systems Launches Confidential AI and Analytics Tools Before Confidential Computing Summit

Opaque Systems has announced its new confidential computing platform which prioritizes the confidentiality of organisational data while using large language models (LLMs), thereby enabling organizations to securely analyze confidential data while ensuring its confidentiality and protecting against unauthorized access. The data remains encrypted end-to-end during model training, fine-tuning and inference to ensure privacy is preserved. The company intends to showcase these innovations during Opaque’s keynote address at the inaugural Confidential Computing Summit to be held on June 29 in San Francisco. These new offerings include a privacy-preserving generative AI optimised for Microsoft Azure’s Confidential Computing Cloud and a zero-trust analytics platform, Data Clean Room (DCR) which can encrypt data at rest, in transit, and during usage. Through these offerings, the company aims to enable organizations to modify their operations to more efficiently and securely leverage confidential computing. Additionally, it also offers specialized LLMs with no risk of exposure while protecting data during the model training and inference process.