Secure Multi-Party Computation
Collaborate on data with unprecedented privacy
In a confidential computing environment, secure multi-party computation allows different enterprises to collaboratively analyze encrypted data without revealing its contents, ensuring full privacy and compliance.
Unlock new insights in safely shared data
Secure multi-party processing allows unprecedented data sharing across organizations without compromising on privacy or compliance requirements. All data is encrypted during processing limiting exposure to security vulnerabilities and unauthorized access.
New possibilities of secure multi-party computation across industries
Healthcare
Share data for AI and analytics with zero trust to collaborate with partners and research institutes safely.
Finance
Work with external partners for better fraud prediction, AML, and machine learning, while keeping all data always encrypted.
Public Sector
Share information with other entities, NGOs, and organizations to gain key data insights while maintaining the strictest data privacy requirements.
The power of data cooperatives
Learn how confidential computing opens up new possibilities in finance in the Edgeless System's webinar with Accenture, with examples including consumer credit risk monitoring, insurance claim fraud detection.
Any Questions?
Interested in learning more about how confidential computing opens up new possibilities in multi-party computation? Reach out!