Persona Management System for Privacy-Preserving Data Analysis
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Solution Overview
Problem
The transmission, use, and retention of private user data by service providers for risk analysis and other financial transactions compromise user privacy, as this data is often misused and not adequately secured.
Innovation Solution
A persona management system creates and utilizes privacy-preserving user metadata through a 'link gathering' and 'link search' phase, allowing data consumers to identify users matching criteria without compromising user privacy by using remote agents to execute personal information matching algorithms at external data providers, generating anonymous identifiers for secure interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If service providers transmit, use, and retain private user data for risk analysis and financial transactions, then data analysis capability is improved, but user privacy is compromised
Solution Approach 1:
The patent introduces a persona management system as an intermediary between users and service providers. This system uses remote agents that execute personal information matching algorithms at external data providers to generate anonymous identifiers, allowing service providers to analyze user data without directly accessing or retaining private information, thus resolving the contradiction between data analysis capability and user privacy protection
2Measurement precision
If service providers obtain historical information from external data providers using private information, then risk analysis accuracy is improved, but data security is worsened due to data retention
Solution Approach 1:
The patent extracts only the necessary matching results in the form of anonymous identifiers from external data providers, rather than retrieving and retaining the underlying private data. The remote agents execute algorithms at the data providers' systems and return only the essential information needed for risk analysis, eliminating security risks associated with data retention while maintaining analysis accuracy
Solution Approach 2:
The system creates anonymous identifier copies that represent users without containing actual private information. These identifiers serve as safe substitutes for personal data, enabling risk analysis to be performed on the copies rather than the original sensitive information, thus improving security while preserving analytical capability
Data Source
AI summary
Techniques are described for providing access to anonymized user data derived from external data providers. A persona management system generates a searchable data store containing metadata related to a plurality of users of the persona management system. The metadata includes entries indicating: a first identifier of a user of the plurality of users of the persona management system, a second identifier of an external data provider of a plurality of external data providers that possess data related to users of the persona management system, a third identifier of an algorithm that is used to transform data possessed by the external data provider related to the user of the persona management system into one or more transformed data values, and the one or more transformed data values. In response to requests from various data consumers, the persona management system uses the metadata to identify users matching specified search criteria.