Funding
Funding not disclosed
Founders
Product
Problem
Organizations face challenges in processing sensitive data due to privacy regulations and the risk of exposing confidential information. Traditional computing methods often require data to be decrypted, creating vulnerabilities and limiting the ability to collaborate on sensitive datasets.
Solution
Hypernet offers a privacy-preserving computing protocol that enables secure data processing across a distributed network. It allows computations to be performed on encrypted data without exposing the underlying sensitive information. This ensures confidentiality and compliance with data privacy regulations while enabling secure collaboration and data sharing. The protocol utilizes techniques like homomorphic encryption and secure multi-party computation to perform computations directly on encrypted data.
Target Audience
The primary target audience includes organizations in regulated industries such as healthcare, finance, and government that handle sensitive data and require secure computing solutions.
Features
- Secure multi-party computation for collaborative data analysis without revealing individual data points.
- Homomorphic encryption enabling computation on encrypted data.
- Distributed network architecture for enhanced security and resilience.
- Support for various data types and computational tasks.
- Customizable security policies and access controls.