Confidential Computing - Guide to secure data collaboration

Unlock data silos without risking privacy. Discover how secure collaboration can become your biggest advantage.

This guide explains how combining Multi-Party Computation (MPC) and blockchain allows companies to collaborate on sensitive data without exposing it. Explore real-world use cases in healthcare, finance, and mobility, and learn how Partisia’s platform enables secure, audit-ready, cross-organizational data collaboration - without rebuilding your systems.

 

A 2023 Deloitte report found that over 70 percent of enterprises consider data silos a key barrier to digital transformation. Similarly, a Gartner study revealed that fewer than 20 percent of companies are successfully leveraging cross-organizational data collaborations, largely due to privacy and compliance concerns. 

 

Multi-Party Computation is a type of cryptography that allows several parties to work with data together without revealing their individual inputs. Each participant keeps control of their data, and only the agreed result is revealed. No one sees anything they’re not supposed to.

 

Blockchain technology complements MPC by adding transparency and traceability. If MPC handles the data in a private way, blockchain records the process in a public, tamper-proof ledger. 

 

In finance, banks use the platform to detect fraud across institutions while keeping customer data fully private. They’re also benchmarking risk models and coordinating on compliance, all without sharing raw data.