Configuration Gap Detection for Multi-Framework Data Compliance
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Solution Overview
Problem
Existing computing systems face challenges in efficiently and accurately adapting to different system requirements frameworks due to their rigid structures, leading to non-compliance with changing regulatory standards and data assets across multiple jurisdictions, resulting in inaccurate data handling and increased operational risks.
Innovation Solution
A compliance management computing system that detects and corrects configuration gaps by analyzing data objects and infrastructure, generating tailored control actions to ensure compliance with system requirements frameworks, providing a flexible and efficient graphical user interface for managing data assets and processing operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If computing systems use rigid structures to maintain stability, then system stability is improved, but adaptability to different system requirements frameworks deteriorates
Solution Approach 1:
The patent applies dynamics by enabling computing systems to adapt their configurations dynamically based on detected system requirements frameworks. The system automatically adjusts control configurations, data handling procedures, and security measures according to the specific framework requirements (e.g., PCI DSS, HIPAA, GDPR), transforming rigid static systems into flexible dynamic systems that can reconfigure themselves to meet different regulatory standards without compromising overall stability.
Solution Approach 2:
The system changes operational parameters by detecting which system requirements framework applies and automatically modifying configuration parameters accordingly. This includes changing data storage locations, access control settings, encryption methods, and retention policies based on the detected framework, allowing the same system to operate compliantly under different regulatory regimes by parameter adjustment rather than structural change.
2Manufacturing precision
If computing systems implement comprehensive controls for compliance, then compliance accuracy is improved, but device complexity increases
Solution Approach 1:
The computing system performs self-compliance verification by automatically detecting applicable system requirements frameworks and independently assessing its own configuration against detected gaps. The system generates self-diagnostic reports identifying compliance deficiencies and can autonomously execute remediation actions or alert users, eliminating the need for complex external compliance auditing tools and manual verification processes while maintaining high compliance accuracy.
Solution Approach 2:
The system implements continuous feedback loops where configuration gaps are detected, compliance status is assessed, and corrective actions are recommended or executed. This feedback mechanism allows the system to self-correct compliance issues automatically, reducing the need for manual intervention and simplifying compliance management while maintaining comprehensive control accuracy through automated continuous monitoring and adjustment.
3Adaptability or versatility
If computing systems handle data across multiple jurisdictions, then data handling versatility is improved, but operational risks increase
Solution Approach 1:
The system segments data handling operations by jurisdiction and applies framework-specific controls to each segment. When data is detected to be subject to multiple frameworks (e.g., PCI DSS for payment data, GDPR for European personal data), the system divides the handling processes into separate compliant tracks for each jurisdiction, ensuring that data from different regions is processed according to their specific requirements, thereby reducing operational risk through localized compliance management while maintaining overall versatility.
Solution Approach 2:
The computing system acts as an intermediary between data processing operations and regulatory requirements by detecting applicable frameworks and mediating compliance through automated configuration adjustments. This intermediary function translates complex multi-jurisdictional regulatory requirements into specific system configurations and control actions, reducing operational risk by ensuring that data handling practices are automatically aligned with the most stringent applicable frameworks without requiring manual compliance management.
Data Source
AI summary
Methods, systems, and non-transitory computer readable storage media are disclosed for managing computing systems according to detect and correct configuration gaps with specific system requirements frameworks. Specifically, the disclosed system accesses a digital data repository to determine attribute values of data objects representing functions or infrastructure associated with handling target data for an entity. The disclosed system determines a digital representation of a system requirements framework that indicates controls associated with handling specific data types. Based on the attribute values and a gap rules set associated with the system requirements framework, the disclosed system determines configuration gaps to be addressed via control actions for installing controls in connection with various data assets or data processing operations. The disclosed system generates tasks to display via a graphical user interface of a computing device for applying modifications to the data assets and/or data processing operations to address the configuration gaps.