Consent-Centric Data Compliance Checking via Reconciliation Engine
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Solution Overview
Problem
Organizations face challenges in maintaining compliance with complex regulations and laws following data breach events, as existing systems lack efficient methods for consent-centric data compliance checking, leading to increased operational difficulties.
Innovation Solution
A processor-implemented method and system for consent-centric data compliance checking, which involves receiving applications, deriving purposes, capturing data subject consents, and reconciling consent information by sending read requests, decrypting, and concatenating data to determine consent lacking information, utilizing a compliance checking device and reconciliation engine.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If organizations implement comprehensive compliance checking systems to meet complex data breach reporting requirements, then data protection compliance is improved, but device complexity and operational burden increase
Solution Approach 1:
The patent segments the compliance checking system into modular components: a reconciliation engine that compares data subject preferences against actual data usage, a purpose catalogue that categorizes data processing activities, and a consent management system. This modular architecture reduces overall system complexity while maintaining comprehensive compliance coverage.
Solution Approach 2:
The system performs preliminary actions by maintaining a data subject preference master that pre-documented consent preferences and purposes before data processing occurs. The purpose catalogue pre-categorizes potential data processing activities, enabling proactive compliance checking rather than reactive remediation.
2Measurement precision
If organizations manually track and reconcile data subject consents across multiple applications, then consent accuracy is improved, but loss of time and productivity decrease
Solution Approach 1:
The patent creates a digital copy of data subject preferences in the form of a preference master that can be automatically replicated and compared against actual data usage across multiple applications. This digital copying eliminates manual tracking while maintaining high accuracy through systematic reconciliation processes.
Solution Approach 2:
The reconciliation engine implements continuous feedback by automatically comparing data subject preferences against actual data processing activities, identifying discrepancies, and generating reports that feed back into the consent management system for corrective action.
3Reliability
If organizations encrypt and secure data subject preference information, then data security is improved, but ease of operation and access difficulty increase
Solution Approach 1:
The patent introduces a secure vault as an intermediary component that stores encrypted data subject preferences. The reconciliation engine interacts with this vault through controlled interfaces, obtaining necessary information for compliance checking while maintaining security. The vault acts as a mediator between security requirements and operational needs.
Data Source
AI summary
Techniques for consent centric data compliance checking are disclosed. In an example embodiment, multiple applications associated with an organization are received. Further, a purpose for each of the multiple applications associated with the organization is derived. Furthermore, consents of data subjects are captured for the derived purpose of each of the multiple application in a data subject preference master. Also, reconciliation of the data subject preference master and data subjects' data available in the organization is performed to determine consent lacking information.