Dynamic Compliance Template Updates for Multi-Cloud Systems
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Solution Overview
Problem
Multi-cloud computer systems face challenges in ensuring compliance with varying regulatory standards across different cloud environments, requiring dynamic and adaptive solutions for compliance template updates and tool selection to maintain regulatory adherence.
Innovation Solution
The method employs corrective ensemble modeling under a recommender and reinforcement framework to dynamically update compliance templates and select appropriate tools, ensuring multi-cloud compliance by continuously improving the modeling structure based on domain-specific failure analysis and geographical policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional static compliance templates are used for multi-cloud systems, then initial compliance validation can be performed, but the templates cannot adapt to changing regulatory requirements across different cloud environments
Solution Approach 1:
The patent transforms static compliance templates into dynamic ones by implementing automated update mechanisms that continuously adapt to changing regulatory requirements. The system monitors regulatory changes and automatically updates compliance templates without manual intervention, ensuring both adaptability to new requirements and reliability through systematic update processes.
Solution Approach 2:
The patent incorporates feedback loops where compliance validation results, regulatory changes, and system performance data are continuously fed back into the template update process. This feedback mechanism ensures that templates evolve based on actual compliance performance and emerging regulatory requirements, maintaining reliability while improving adaptability.
2Productivity
If manual compliance template updates are performed, then compliance requirements can be addressed, but the process is time-consuming and cannot keep pace with rapidly changing regulations
Solution Approach 1:
The patent implements self-service automation where the compliance system automatically detects regulatory changes, updates templates, and validates compliance without requiring manual human intervention. This automated self-updating process dramatically increases compliance update speed while reducing the time loss associated with manual compliance validation processes.
Solution Approach 2:
The patent replaces manual mechanical processes of compliance template updating with automated computational systems. Machine learning algorithms and automated parsing systems substitute for manual review and update processes, enabling rapid adaptation to regulatory changes and significantly reducing the time required for compliance validation.
3Reliability
If comprehensive compliance checking is performed across multiple cloud environments, then thorough regulatory adherence can be ensured, but the complexity of managing multiple compliance standards increases
Solution Approach 1:
The patent creates a universal compliance management system that handles multiple cloud environments and diverse regulatory standards through a single integrated platform. The system performs multi-functionality by adapting to different compliance frameworks (GDPR, HIPAA, PCI-DSS, etc.) and cloud providers through standardized processes, reducing management complexity while maintaining thorough compliance checking across all environments.
Solution Approach 2:
The patent manages complexity by dynamically adjusting compliance checking parameters based on the specific cloud environment, data sensitivity, and applicable regulations. The system automatically modifies validation depth, scope, and methodology according to contextual parameters, ensuring comprehensive adherence checks without requiring manual configuration for each scenario.
4Adaptability or versatility
If frequent compliance template updates are implemented, then regulatory changes are quickly reflected, but system stability and consistency may be compromised
Solution Approach 1:
The patent implements continuous compliance monitoring and incremental template updates rather than frequent discrete changes. The system continuously validates compliance and makes small, controlled adjustments to templates, maintaining stability while responding to regulatory changes. This continuous action approach ensures consistent compliance management without disrupting system operations.
Solution Approach 2:
The patent employs change management mechanisms that cushion the impact of template updates by implementing staged rollouts, validation gates, and rollback capabilities. Before comprehensive updates are deployed, the system performs preliminary validations and maintains version control, ensuring that adaptability to regulatory changes does not compromise template stability or cause system disruptions.
Data Source
AI summary
Computer technology for helping to ensure various types of compliance for a first user on a multi-cloud platform, the technology including the following operations: (i) receiving an initial version of a compliance template for use with a multi-cloud computer system; (ii) applying corrective ensemble modelling under a recommender and reinforcement framework to dynamically update the compliance template to obtain an updated version of the compliance template; (iii) applying corrective ensemble modelling under a recommender and reinforcement framework to dynamically select a recommended set of compliance tools for the first user; and (iv) validating multi-cloud compliance using the template and tools.