Data Management Platform With Jurisdictional Tokenization
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Solution Overview
Problem
Conventional systems fail to allow data management across jurisdictional boundaries while maintaining complete control over sensitive data usage by the originating jurisdiction, leading to either insufficient security or compromised flexibility.
Innovation Solution
A data management system that tokenizes sensitive data before transfer across jurisdictions, allowing the originating jurisdiction to control access and usage through real-time synchronization and rigorous review processes, ensuring compliance and auditability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensitive data is stored outside the originating jurisdiction, then data flexibility and global usage are improved, but data security and jurisdictional control deteriorate
Solution Approach 1:
The data is segmented into two components: the original sensitive data remains securely stored within the jurisdiction, while tokenized representations (tokens) are distributed outside the jurisdiction for global usage. This segmentation allows different parts of the data management system to serve different purposes - security and flexibility simultaneously.
Solution Approach 2:
A tokenization intermediary system is introduced that acts as a mediator between the originating jurisdiction and external systems. The tokenization service converts sensitive data into tokens that can be used externally without exposing the actual sensitive information, thus maintaining security while enabling global data usage.
2Reliability
If sensitive data is kept within the originating jurisdiction, then data security and jurisdictional control are improved, but data flexibility and global usage deteriorate
Solution Approach 1:
Instead of moving or copying sensitive data outside the jurisdiction, the system creates tokenized copies that represent the sensitive data. These tokens can be used externally for global data usage while the actual sensitive data remains securely within the originating jurisdiction, maintaining both security and flexibility.
3Reliability
If data is tokenized before transfer, then data security is improved, but system complexity increases
Solution Approach 1:
The tokenization service is designed as a universal system that handles multiple functions: data tokenization, token validation, data retrieval, and compliance management. By consolidating these functions into a single multi-functional service, the system manages complexity while maintaining strong security controls.
Solution Approach 2:
The system implements feedback mechanisms where tokens carry metadata about their origin, purpose, and usage rights. This feedback information allows the system to automatically enforce jurisdictional controls and security policies without requiring complex manual verification processes, thus managing system complexity.
Data Source
AI summary
A network system to allow global usage of data while allowing regional jurisdictions control over sensitive data. Different jurisdictions may declare different types of data as sensitive data that is not to be discoverable by a third party. The system allows the data to be shared across jurisdiction boundaries with complete auditability, traceability, and compliance. The system allows a first jurisdiction computing device to control the usage of the data that is stored outside of the jurisdiction. The technology allows the first jurisdiction to propagate rules, tokenization protocols, and updates to the system to manage the sensitive data. The system detokenizes the data when the data is to be used for an approved purpose by an approved party. If the original jurisdiction has a change in permissions for sensitive data, the jurisdiction can propagate a tokenization to all data stored in the data management system outside of the jurisdiction.