Data Privacy Architecture for Centralized Consent and Selective Data Sharing
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Solution Overview
Problem
Current data privacy protections are sector-specific and lack comprehensive mechanisms for managing consent and data sharing preferences, failing to adapt to the evolving landscape of personal information regulation.
Innovation Solution
A system and method that utilizes a computer with a processor and memory to manage user data preferences, enabling selective control of interactions based on user preferences, including marketing and data sharing, and filtering data accordingly, with preferences received from various applications and stored in a database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sector-specific data privacy protections are implemented, then compliance with current regulations is achieved, but adaptability to evolving privacy landscape and comprehensive consent management is insufficient
Solution Approach 1:
The patent implements a universal consent management system that handles multiple privacy scenarios (marketing preferences, data sharing, children's information, financial data) through a single integrated platform. The system provides comprehensive consent management across different sectors and regulatory requirements, eliminating the need for separate sector-specific systems while maintaining adaptability to evolving privacy landscapes.
Solution Approach 2:
The system segments user preferences into distinct categories (marketing preferences, data sharing preferences, children's information preferences, financial information preferences) and stores them in a structured database. This segmentation allows the system to manage complex privacy requirements systematically while maintaining organization and ease of access for both users and regulators.
2Reliability
If comprehensive consent management is implemented, then data privacy protection is enhanced, but system complexity increases
Solution Approach 1:
The patent introduces a centralized consent management system that acts as an intermediary between data collectors, data processors, and regulators. This intermediary system handles the complexity of consent tracking, preference management, and compliance verification, allowing other system components to focus on their core functions while maintaining enhanced data privacy protection through standardized interfaces.
Solution Approach 2:
The system implements feedback mechanisms that continuously monitor user preferences, regulatory changes, and data processing activities. This feedback loop enables the system to automatically update consent records, adjust data processing behaviors, and maintain compliance with evolving regulations, thereby enhancing reliability without requiring manual intervention or overly complex rule-based systems.
3Ease of operation
If user preferences are stored and processed, then personalized data control is achieved, but data processing requirements and system resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and structuring user preference data in the database before it is needed for data processing operations. Preferences are categorized, validated, and stored in an optimized format that enables rapid retrieval and application, reducing the computational burden during actual data processing while maintaining personalized user control capabilities.
Solution Approach 2:
The system applies partial processing by selectively applying user preferences only to relevant data processing operations rather than processing all data universally. This allows the system to maintain personalized user control where needed while avoiding unnecessary processing overhead for unrelated operations, thereby optimizing resource consumption while preserving ease of operation.
Data Source
AI summary
Systems, apparatuses, and methods for managing privacy of data are provided. The method includes providing at least one database containing user data, at least one processor in communication with the at least one database, a memory device including readable instructions, and at least one user device in communication with the at least one processor via a network connection; receiving at least one preference related to the user data; storing the at least one preference in the at least one database; and using the at least one preference to selectively control at least one verbal interaction with the at least one user device.