Sovereign Data Pipeline Isolation for Cross-Region Compliance
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Solution Overview
Problem
The challenge of transmitting data across sovereign jurisdictions where different security and legal protocols apply, leading to issues in data validation and compliance with varying regulations.
Innovation Solution
A secure pipeline with a data valve and staging area is established between data centers, utilizing hardware and software to validate data based on sovereign region requirements, isolate it, and perform hermetic rebuilds, ensuring compliance before storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is transmitted across sovereign jurisdictions, then data availability and connectivity are improved, but compliance with varying security and legal protocols becomes more difficult
Solution Approach 1:
The patent introduces an intermediate computing system positioned between data centers in different sovereign jurisdictions. This intermediary validates incoming data against the requirements of the destination jurisdiction before data is admitted to the data center, thereby simplifying the overall system by centralizing compliance checks rather than requiring complex point-to-point validation between all data center pairs.
Solution Approach 2:
The system performs validation actions before data is fully admitted to the data center. The intermediate computing system validates data against jurisdictional requirements in advance, and only approved data is allowed into the data center. This preliminary validation approach improves transmission efficiency by preventing non-compliant data from requiring complex post-admission processing.
2Reliability
If data is validated against multiple jurisdictional protocols, then compliance accuracy is improved, but validation time and processing duration increase
Solution Approach 1:
The intermediate computing system performs validation against multiple jurisdictional protocols before data is admitted to the data center. By conducting all necessary compliance checks in advance, the system ensures high compliance accuracy while preventing time losses that would occur if validation were performed after data admission or during processing.
Solution Approach 2:
The validation process is segmented into distinct stages: initial validation by the intermediate computing system, and additional validation by the data center's computing system. This segmentation allows parallel processing of different validation checks, improving overall processing efficiency while maintaining comprehensive compliance verification.
3Reliability
If data is isolated in a hermetic environment for validation, then security is improved, but data accessibility and operational ease deteriorate
Solution Approach 1:
The intermediate computing system acts as a mediator between the hermetic isolated environment and the data center. It receives data from external sources, validates it against jurisdictional requirements, and only transmits validated data to the data center. This intermediary approach maintains the security benefits of isolation while improving accessibility by providing a controlled interface for data transfer.
Solution Approach 2:
The system implements feedback mechanisms where the intermediate computing system communicates validation results back to the data center. This feedback loop allows the system to maintain strict security controls while providing real-time information about data compliance status, thereby improving operational ease without compromising security.
Data Source
AI summary
Techniques are described for data management. An example method can include processing a first message indicating that an intermediate computing system managed by a data center in a first region has received data from a second data center in a second region, the data stored in an isolated environment of the intermediate computing system. The method can further include transmitting first control instructions to the intermediate computing system to validate the data based at least in part on a first criteria. The method can further include processing a second message indicating to release the data from the isolated environment of the intermediate computing system and processing a third message indicating that the second message originated from the first region. The method can further include causing the data to be released from the isolated environment based at least in part on the validation results.