Trust Object Automation for Multi-Jurisdictional Data Privacy Compliance
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Solution Overview
Problem
Companies face significant challenges in complying with diverse and complex data privacy laws across various jurisdictions, leading to risks of data breaches, regulatory investigations, and substantial fines due to the improper disclosure or use of personal information.
Innovation Solution
The technology implements a computer-implemented system that associates person-related data entities with trust objects, which hold metadata including consent types, data privacy regulations, and purposes, to automatically filter and restrict the transfer of data that do not meet applicable jurisdictional regulations, ensuring compliance by constructing filters based on specific data privacy laws.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If companies collect and process personal information from multiple jurisdictions, then business opportunities and data utilization increase, but compliance complexity and regulatory risk increase
Solution Approach 1:
The system segments compliance requirements by jurisdiction and applies them through targeted filters. Each jurisdiction has its own compliance rules stored in the trust object, allowing the system to process data from multiple sources while maintaining separate compliance tracks for each region, thus reducing overall complexity through modular organization.
Solution Approach 2:
The trust object acts as an intermediary between data collection and compliance enforcement. It stores jurisdiction-specific regulations and consent information, mediating between the raw data and the compliance requirements, thereby simplifying the compliance checking process while enabling multi-jurisdictional data processing.
2Reliability
If manual compliance checking is performed, then compliance accuracy can be maintained, but time consumption and operational cost increase
Solution Approach 1:
The system performs self-compliance checking through automated filter application. The trust object automatically evaluates data against stored jurisdiction regulations without human intervention, maintaining compliance accuracy while eliminating time-consuming manual review processes. The automated mechanism continuously ensures compliance status is up-to-date.
Solution Approach 2:
Compliance rules and trust objects are prepared in advance before data processing occurs. By pre-storing jurisdiction-specific regulations and consent requirements in the trust object, the system can immediately apply compliance filters when data arrives, eliminating the need for time-consuming real-time compliance analysis.
3Object-affected harmful factors
If data filters are applied to ensure compliance, then regulatory risk decreases, but data availability and processing speed may be reduced
Solution Approach 1:
Compliance filters are pre-configured and stored in the trust object before data processing. By having the compliance logic ready in advance, the system can immediately apply filters without time-consuming analysis, maintaining high processing speeds while ensuring regulatory compliance. The filter application is a simple lookup and comparison operation rather than complex real-time analysis.
Data Source
AI summary
The technology disclosed relates to automated compliance with data privacy laws of varying jurisdictions. In particular, it relates to constructing trust filters that automatically restrict collection, use, processing, transfer, or consumption of any person-related data that do not meet the data privacy regulations of the applicable jurisdictions. The trust filters are constructed dependent on associating person-related data entities with trust objects that track person-related data sources.