Risk-Scored User Data Sharing for Compliant Exchange
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Solution Overview
Problem
The complexity of determining what data can be shared and under what circumstances is increased by various laws, contracts, and policies governing data sharing, making it difficult to assess privacy and security risks in data transactions between parties.
Innovation Solution
A data sharing system that includes a memory and processor to store and manage user data, allowing for the assessment of privacy risks through risk scoring and data modification techniques such as tokenization and anonymization, ensuring compliance with preset risk thresholds and communication protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is shared with third parties to create efficiencies and increase accuracy, then productivity and data quality are improved, but privacy and security risks increase
Solution Approach 1:
The patent introduces a risk assessment system as an intermediary between data sharing needs and privacy protection. This system evaluates data requests, assigns risk scores, and determines appropriate sharing decisions, acting as a mediator that enables productive data exchange while filtering out high-risk sharing scenarios that could compromise privacy
Solution Approach 2:
The patent dynamically changes the parameter of data sharing decisions based on risk assessment results. When risk scores exceed thresholds, the system modifies sharing parameters by denying access or implementing additional controls, thereby adapting the data sharing process to balance productivity needs with privacy protection
2Reliability
If multiple laws, contracts, and policies govern data sharing, then privacy protection is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent merges multiple compliance requirements into a unified risk assessment framework. Instead of evaluating each law, contract, and policy separately, the system integrates them into a comprehensive risk scoring model that produces a single actionable risk score, thereby maintaining reliable privacy protection while reducing the operational complexity of compliance management
Solution Approach 2:
The risk assessment system serves multiple functions simultaneously: it evaluates privacy risks, determines compliance status, guides data sharing decisions, and provides audit trails. This multi-functional approach consolidates what would otherwise require separate systems for each compliance requirement, reducing overall system complexity while maintaining comprehensive privacy protection
3Measurement precision
If comprehensive data is shared to increase accuracy, then measurement precision is improved, but privacy risks and data security concerns increase
Solution Approach 1:
The patent applies local quality by allowing different levels of data sharing for different data fields based on their individual risk assessments. Instead of applying a blanket restriction or permission across all data, the system evaluates and shares specific data fields with appropriate granularity, enabling high accuracy where safe while protecting sensitive areas
Data Source
AI summary
A data sharing system may facilitate sharing of data with third party systems. In one example, the data sharing system can provide a graphical user interface that displays an available subset of user data for sharing. The available subset may be based on previously shared user data with the third party system. The third party system can provide a selection of data of interest within the available subset, and the selected data can be shared.