Centralized Consent Vector Management for Data Privacy
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Solution Overview
Problem
Current consent management systems fail to provide comprehensive functionality for recording, tracking, and enforcing customer consent at the data level, lacking control and transparency for users regarding how their secondary data is utilized by businesses.
Innovation Solution
A centralized consent management system that receives user selections, generates consent vectors, associates them with identifiers, tags incoming data, and enforces access restrictions based on user consent, using techniques like public/private key encoding and potentially blockchain technology to ensure data privacy and compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If comprehensive consent management functionality is implemented, then user control and transparency are improved, but system complexity increases
Solution Approach 1:
The system segments consent management into distinct functional modules: consent collection module, consent storage module, consent tracking module, and consent enforcement module. Each module handles specific aspects of consent management independently, making the overall complex system manageable and maintainable while providing comprehensive functionality to users.
Solution Approach 2:
The patent introduces intermediary components such as consent identifiers and data tags that mediate between user preferences and data processing operations. These intermediaries simplify user interaction by providing standardized interfaces while managing the complexity of consent enforcement behind the scenes.
2Measurement precision
If data tagging with consent identifiers is implemented, then consent tracking precision is improved, but data processing complexity increases
Solution Approach 1:
The system performs preliminary tagging of data with consent identifiers at the point of data collection or ingestion. This preliminary action ensures that consent information is embedded in data before processing occurs, enabling precise tracking without adding complexity to subsequent data processing operations.
Solution Approach 2:
The patent uses lightweight consent identifier tags that are copied or referenced rather than duplicating full consent records. This approach maintains precise consent tracking by linking data to consent information while minimizing the processing overhead and storage requirements.
3Reliability
If conditional access enforcement is implemented, then consent reliability is improved, but system operation speed decreases
Solution Approach 1:
The system pre-evaluates consent conditions and caches access decisions before data requests are made. By performing consent verification in advance and storing the results, the system ensures reliable consent enforcement while minimizing the impact on real-time data access speed.
Solution Approach 2:
The patent replaces complex real-time consent evaluation mechanisms with pre-computed access control lists and permission caches. This substitution maintains consent reliability by ensuring proper authorization checks while significantly improving system operation speed by avoiding repeated complex evaluations.
Data Source
AI summary
A system, method, and computer program product are provided for centralized consent management. In operation, the consent management system receives user selections from a user indicating which user data is capable of being utilized for analysis by a company. The consent management system stores the user selections of which user data is capable of being utilized for analysis by the company in a consent database. The consent management system generates a consent vector corresponding to the user selections of which user data is capable of being utilized for analysis by the company. Additionally, the consent management system associates the consent vector with a consent vector identification. Further, the consent management system tags incoming data with the consent vector identification to associate a user consent with the incoming data. The consent management system stores and encodes the incoming data. Moreover, the consent management system enforces consent restrictions by conditionally allowing access to the stored data by the company based on corresponding consent vector identifications.