Unified Data Privacy Architecture for Dynamic Consent Control

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Solution Overview

Problem

Current data privacy protections are sector-specific and lack comprehensive mechanisms for enhanced control and protection of personal information, failing to adapt to the evolving landscape of data regulation and user rights.

Innovation Solution

A system and method for managing data privacy that includes a computing system with processors and memory, capable of receiving communication requests, collecting usage data, verifying user credentials, and filtering data before transmission, ensuring enhanced privacy control and protection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If sector-specific data privacy protections are implemented, then current regulatory requirements are met, but comprehensive data privacy control and adaptability to evolving regulations are insufficient

Engineering Contradiction:
Improveadaptability to evolving data privacy regulationsVSAvoidcomplexity of data privacy management system
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a universal data privacy management system that handles multiple data types (health information, financial information, educational information, children's information) through a single integrated platform. The system provides unified consent management, data access controls, and privacy compliance features that work across different sectors, eliminating the need for separate sector-specific systems while maintaining adaptability to evolving regulations.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system incorporates dynamic consent management that allows users to update their privacy preferences in real-time. The consent framework is flexible and can adapt to changing regulatory requirements without requiring system redesign. The platform dynamically adjusts data access permissions, retention policies, and sharing mechanisms based on user preferences and regulatory updates.

Inventive Principle:
Principle #15Dynamics

2Ease of operation

If comprehensive data privacy control mechanisms are implemented, then user rights and transparency are enhanced, but system complexity and implementation difficulty increase

Engineering Contradiction:
Improveuser control and transparency over personal informationVSAvoidcomplexity of privacy management architecture
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent implements self-service privacy management where users directly control their own data through an intuitive interface. Users can view what data is collected, modify their consent preferences, access their personal information, and manage data sharing settings without requiring technical expertise or system administrator intervention. The system automatically enforces user preferences across all data processing operations.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system provides continuous feedback to users about how their data is being used and processed. Users receive transparent information about data access requests, data sharing activities, and privacy status. This feedback mechanism enables users to make informed decisions about their data preferences while the system automatically adjusts its operations based on user input.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20250284843A1Data privacy architecture, systems, and methods
Publication Date: 2025.09.11 TRUIST BANK
  • US20250284843A1 patent drawing
  • US20250284843A1 patent drawing
  • US20250284843A1 patent drawing

AI summary

Systems, apparatuses, and methods for managing privacy of data are provided. The method includes providing at least one processor in communication with the at least one database, a memory device including readable instructions, and at least one of an agent device and a user device in communication with the at least one processor via a network connection; receiving at least one communication request related to user data; collecting usage data of the user data; and transmitting the communication containing the usage data to a user.