Pain Points

Single data

Single data category, poor correlation, information silos

Data Breach

Use raw data information for calculation, easy to be stolen

Data Transition Acquisition

Transitional data collection, facing the security risk of data transmission and storage

Simple data integration

Simple data integration and no expanded value of the integrated data

Solutions

Solution Architecture Diagram

Solution deployment/introduction

Privacy computing platform deployments typically include a cryptographic computing platform plus several data source clients, with the Trustkernel providing a platform-based Sass service or an API-based Pass service
Computing platform data calculation volume is limited by hardware bottleneck, 7 billion data volume, expected to deploy 10 hardware servers
With the help of privacy computing, we can use DataCube to open up data nodes and unite multiple data sources to improve the operation capability of customers' digital assets while protecting user information from leakage.

High Performance

Using TEE technology to ensure that the operation is not disturbed to speed up the calculation speed

Hardware Level Security

Hardware-based trusted computing technology, more secure and reliable

Feature-rich

Supports multiple data fusion and confidential computings

Intelligent risk control in the financial industry

Smart Clinical and Management in Healthcare Industry

Government industry data integration