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Trust Stamp, the Privacy-First identification CompanyTM that offers
AI-powered trust and identification services, has partnered with Partisia, a global pioneer and leader in commercial-grade infrastructure for privacy-preserving
Secure Multiparty Computation (MPC) software solutions.
Nations are progressively insisting that the data of their citizens be stored and processed within their jurisdiction or in countries they recognize as providing equivalent data protection. This can preclude the use of cloud resources and, in countries with less developed technology infrastructure, limit their data storage and processing options, as well as other vital implications, as per Trust Stamp.
GlobalSecure creates a global infrastructure where data can flow securely while adhering to
local regulations and data protection guidelines, and eliminates the need to transfer data to third parties — against whom consumers have limited to no data access rights — by leveraging cutting-edge technologies such as Trust Stamp's Privacy First Identity Token (IT2) and Partisia's unparalleled Secure Multiparty Computation technologies. Computations on encrypted data can be done without revealing the underlying information, establishing an incorruptible privacy barrier against unauthorized access to third parties who may breach their
data-sharing agreement or fiduciary obligations to participate in misbehavior.
This novel solution not only protects and secures data, but it also encourages cross-border collaboration and creativity. It enables organizations to negotiate regulatory frameworks, expand into emerging markets, and succeed while avoiding data-related limits. Furthermore, GlobalSecure adheres to GDPR recommendations and protects against data breaches, ensuring that data is protected and confidential throughout its journey, based on the principles of the Conseil d'Etat ruling - France's highest administrative judicial body, the Danish Data Protection Agency's guidelines/practice, and the European Data Protection Board (EDPB) recommendations on using MPC.