Product

Confidential Computing

Computation on encrypted data without breaching regulations or privacy. Data remains encrypted at rest, in transit, and during use.

Platform capabilities

Data encryption during computation — data remains protected even while being processed and analyzed.

Complete visibility of data usage with comprehensive audit trails for compliance and governance.

Multiple programming options including Rust, Java, and custom frontends with broad integration support.

Deploy on-premises or in the cloud with integrations to external data sources and BI tools.

Real-world deployments of confidential computing across industries.

Danish Public Health Authorities

Challenge

Need to analyze sensitive health data across public registers without revealing individual patient information.

Solution

Confidential computing enables third-party analysts to run analyses on encrypted health data across Danish public registers.

Result

Privacy-preserving health data analysis at national scale, enabling research without compromising patient privacy.

Goldman Sachs, Deloitte & FCA

Challenge

Cross-institutional fraud detection requires sharing sensitive financial data between competing institutions.

Solution

Proof-of-concept demonstrating privacy-preserving multi-bank fraud detection using MPC.

Result

Demonstrated that financial institutions can collaborate on fraud detection without exposing proprietary customer data.

Multi-Party Computation splits data across multiple parties so no single party ever sees the raw information, even during computation.

The platform supports Rust and Java, with custom frontend options and broad integration with external data sources and BI tools.

Yes. Confidential computing solutions can be deployed on-premises, in private cloud, or as a managed service.

See how the Partisia Platform can help your organization verify credentials without data exposure.