Partisia Confidential Computing is a platform for performing data analysis and computations on encrypted datasets. It utilizes Multi-Party Computation (MPC) to enable multiple distinct entities to collaboratively activate and analyze combined data silos without exposing the underlying sensitive information to any party. The technology is designed to ensure data remains encrypted at rest, in transit, and during use, maintaining confidentiality throughout the entire computation process.
The system incorporates federated machine learning, which allows algorithms to be sent to local data sources while securing central computations with MPC protocols. For orchestration and auditing, it uses blockchain technology to provide a verifiable trail of all data interactions. The platform includes built-in anonymization techniques and allows computations to be defined using programming languages such as Rust or Java, with support for connecting to external data sources and business intelligence tools.
