Cross-Border Data Transfer Visualization System
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Solution Overview
Problem
Current systems lack effective methods to manage and visualize data transfers and associated risks across multiple data assets, leading to inadequate compliance with privacy and security regulations, and insufficient tools for individuals to control data processing by entities they do not actively engage with.
Innovation Solution
A computer-implemented method and system for generating visualizations of data transfers, assessing risks, and populating data models to identify data assets, processes, and regulatory compliance, including intelligent identity scanning and data subject access request fulfillment, enabling streamlined data management and compliance with privacy regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive data transfer monitoring and visualization systems are implemented, then data security and compliance are improved, but system complexity and implementation cost increase
Solution Approach 1:
The patent introduces a data transfer monitoring system as an intermediary layer between data assets and regulatory requirements. This mediator automatically discovers data transfers, visualizes them, and assesses risks without requiring direct complex integration between all data assets and compliance systems, thereby improving security while managing system complexity.
Solution Approach 2:
The system implements self-service capabilities through automatic data transfer discovery and risk assessment. The monitoring system autonomously identifies data flows, maps them to regulations, and generates compliance reports without requiring manual configuration or intervention, reducing the operational complexity of maintaining comprehensive security monitoring.
2Reliability
If detailed data transfer visualization and risk assessment are provided, then regulatory compliance is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by continuously discovering and mapping data transfers in the background before compliance assessments are needed. Data assets, their locations, and transfer relationships are pre-identified and stored, allowing rapid compliance evaluation when regulations change or assessments are required, thus improving compliance without excessive processing delays.
Solution Approach 2:
The monitoring system operates continuously to maintain an up-to-date understanding of data transfers and compliance status. Rather than performing discrete time-consuming analyses, the system continuously discovers transfers, updates visualizations, and maintains risk assessments, ensuring compliance information is always current while distributing computational load over time.
3Loss of information
If multiple data assets across different physical locations are monitored, then data transfer visibility is improved, but system complexity and data management difficulty increase
Solution Approach 1:
The patent implements a universal data transfer monitoring system that can discover, visualize, and assess risks across diverse data assets in multiple physical locations through a single unified platform. The system handles different data types, storage locations, and transfer mechanisms uniformly, improving comprehensive visibility while reducing the complexity of managing separate monitoring systems for different data assets.
Solution Approach 2:
The monitoring system serves as an intermediary that abstracts the complexity of managing multiple distributed data assets. It provides a unified interface for discovering transfers across all locations, visualizing data flows in a consolidated manner, and assessing compliance risks centrally, thereby improving cross-location visibility while shielding users from the underlying complexity of distributed data management.
Data Source
AI summary
In particular embodiments, a Cross-Border Visualization Generation System is configured to: (1) identify one or more data assets associated with a particular entity; (2) analyze the one or more data assets to identify one or more data elements stored in the identified one or more data assets; (3) define a plurality of physical locations and identify, for each of the identified one or more data assets, a respective particular physical location of the plurality of physical locations; (4) analyze the identified one or more data elements to determine one or more data transfers between the one or more data systems in different particular physical locations; (5) determine one or more regulations that relate to the one or more data transfers; and (6) generate a visual representation of the one or more data transfers based at least in part on the one or more regulations.