Automated Compliance Management System for Data Regulation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems struggle to efficiently manage and monitor compliance with data handling regulations across multiple disparate systems, leading to manual, time-consuming, and error-prone processes.
Innovation Solution
A compliance management system that automates end-to-end regulatory compliance by translating regulations into technical specifications, analyzing interactions with sensitive data in real-time, and executing remediation workflows to ensure compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual human operations and reviews are used to monitor compliance across multiple disparate systems, then compliance monitoring can be performed, but the process becomes time consuming, resource intensive, and prone to human error
Solution Approach 1:
The patent replaces manual human operations with an automated compliance management system that uses machine learning models and algorithms to monitor compliance across multiple systems. The system automatically captures interactions, analyzes compliance status, and generates reports without human intervention, eliminating time consumption and human error while maintaining high reliability through consistent automated execution of compliance checks
Solution Approach 2:
The compliance management system performs self-service by autonomously monitoring its own compliance status across disparate systems. The system automatically detects compliance events, evaluates them against regulatory requirements, and generates compliance reports without requiring external human oversight, thereby reducing time loss and eliminating human error while maintaining reliable compliance monitoring
2Reliability
If manual human operations are used to manage compliance across multiple disparate systems, then compliance can be monitored, but the process becomes resource intensive
Solution Approach 1:
The patent replaces resource-intensive manual human operations with an automated compliance management system that uses efficient algorithms and machine learning models. The system processes compliance data across multiple disparate systems automatically, reducing resource consumption by eliminating the need for human analysts while maintaining reliable compliance monitoring through consistent automated execution
Solution Approach 2:
The system creates automated copies of compliance monitoring processes that can be executed simultaneously across multiple systems. Instead of requiring human resources to manually check each system, the patent implements replicated automated monitoring instances that efficiently process compliance data in parallel, reducing overall resource intensity while maintaining high reliability through comprehensive coverage
3Adaptability or versatility
If compliance monitoring is performed across multiple disparate systems, then comprehensive compliance coverage is achieved, but the complexity of the monitoring process increases
Solution Approach 1:
The patent implements a universal compliance management system that can monitor multiple disparate systems through a single unified platform. The system uses standardized interfaces and adaptive algorithms that automatically adjust to different system types and compliance requirements, achieving comprehensive compliance coverage across diverse systems without proportionally increasing complexity. The unified architecture handles various data formats and system protocols through common processing mechanisms
Solution Approach 2:
The compliance monitoring process is segmented into modular components including event capture, compliance evaluation, and report generation. Each module handles specific aspects of compliance monitoring independently, allowing the system to scale across multiple disparate systems without overwhelming complexity. The segmented architecture enables independent configuration and maintenance of each functional component while maintaining overall system coherence through standardized interfaces
Data Source
AI summary
A compliance management system generates an enterprise data schema based on a compliance regulation. The system monitors interactions over a network with resources subject to the compliance regulation to generate interaction data sets. The system processes the interaction data sets against the enterprise data schema to categorize at least some of the interactions to trigger events associated with the categories, generate corresponding to the events, and track a compliance metric for each of the tasks generated. The system updates the enterprise data schema based on the compliance metric and the interaction data sets.


