Data Handling Tagging for Cross-Network Compliance
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Solution Overview
Problem
Enterprise organizations face challenges in ensuring that sensitive electronic data is handled in compliance with varying regulatory requirements across different jurisdictions, departments, and networks, especially when data is transmitted between them.
Innovation Solution
The implementation of a system that uses data tagging to ensure sensitive data is handled according to prescribed requirements, even when transmitted to different regions or networks. This system includes a data management platform that tags data with handling requirements, generates reference library entries, and distributes them across networks to ensure compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is transmitted across different networks and jurisdictions, then data transmission flexibility is improved, but compliance with varying regulatory requirements becomes more difficult to maintain
Solution Approach 1:
The patent introduces a data management platform as an intermediary system that sits between data sources and destinations across different networks. This platform automatically determines data handling requirements based on destination network identification, acts as a mediator to enforce compliance rules, and manages the complexity of multi-jurisdictional regulations without requiring manual intervention at each step.
Solution Approach 2:
The system performs preliminary actions by pre-determining data handling requirements before data transmission occurs. It identifies the destination network, retrieves applicable regulatory requirements in advance, and configures data handling parameters beforehand. This prevents compliance issues from arising during transmission and allows flexible data sharing while maintaining regulatory adherence.
2Reliability
If manual tracking of data handling requirements is used, then compliance control is improved, but system complexity and operational burden increase
Solution Approach 1:
The data management platform implements self-service functionality by automatically determining data handling requirements without manual configuration. It autonomously identifies destination networks, retrieves applicable regulations, determines required handling procedures, and enforces compliance rules. This eliminates the need for manual tracking while maintaining reliable compliance control through automated decision-making.
Solution Approach 2:
The system incorporates feedback mechanisms where the data management platform continuously monitors data transmission parameters and adjusts handling requirements based on identified network characteristics and regulatory requirements. This feedback loop ensures compliance is maintained dynamically as data moves across different networks, reducing system complexity by automating compliance verification.
3Reliability
If data handling requirements are enforced strictly, then security and compliance are improved, but data transmission efficiency decreases
Solution Approach 1:
By pre-determining data handling requirements before transmission, the system eliminates delays during the actual data transfer process. Applicable regulations are identified and handling parameters are configured in advance, allowing data to be transmitted efficiently without last-minute compliance checks or manual interventions that would reduce transmission speed.
Solution Approach 2:
The automated self-service mechanism allows the data management platform to enforce security and compliance requirements without manual processing delays. The system autonomously applies appropriate handling procedures based on destination network identification, maintaining strict security standards while avoiding the efficiency losses associated with manual compliance enforcement.
Data Source
AI summary
A system for generation and distribution of data handling requirements associated with sensitive data among a plurality of computing networks is described. Specifically, data generated at a first computing network may be tagged with associated data handling requirements. A reference library entry may be generated to include an indicator of the data and the associated data handling requirements. The reference library entry may be distributed to the plurality of computing networks, wherein each of the plurality of computing networks may add the reference library entry to corresponding reference libraries. Updates to the reference library entry, made at any one of the plurality of computing networks, may be propagated to other computing networks such that an updated listing of data handling requirements is accessible to users associated with the plurality of computing networks.


