Unified Compliance Management for Cloud Resources
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Solution Overview
Problem
Current approaches for managing compliance lifecycle of cloud-based resources are complex, time-consuming, and prone to human error, requiring disparate tools and manual processes, especially when dealing with multiple compliance standards like HIPAA, GDPR, and PCI DSS, which lack standardization and require custom automation scripts.
Innovation Solution
A compliance management system using a common model and framework to simplify the lifecycle management of cloud-based resources, enabling the deployment of compliance packs that include settings, rules, and remedial actions, allowing for automated evaluation and remediation across multiple standards, with pre-built and customizable packs available for selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual processes and disparate tools are used for compliance management, then flexibility in handling different compliance standards is maintained, but complexity and time consumption increase significantly
Solution Approach 1:
The patent applies universality by creating a unified compliance management system that can handle multiple compliance standards (HIPAA, GDPR, PCI DSS) through a single platform. The system uses a common model and framework that serves multiple purposes: policy definition, evaluation, remediation, and reporting across different compliance frameworks, eliminating the need for separate tools for each standard.
Solution Approach 2:
The patent segments compliance management into distinct modular components: compliance packs (for different standards), policies, rules, and remediation actions. This segmentation allows the system to manage complexity by breaking down the overall compliance management task into manageable, reusable units that can be independently configured and combined.
2Reliability
If custom automation scripts are required for each compliance standard, then specific compliance requirements can be met, but time consumption and human error increase
Solution Approach 1:
The patent applies preliminary action by providing pre-built compliance packs that contain pre-defined policies, rules, and remediation actions for common compliance standards. These packs are prepared in advance and can be directly applied to cloud resources without requiring users to create custom automation scripts from scratch, significantly reducing time and error.
Solution Approach 2:
The system enables self-service through automated compliance evaluation and remediation. Once compliance packs are applied, the system automatically evaluates cloud resources against the defined rules and executes remediation actions without requiring manual intervention, reducing both time consumption and human error in the process.
3Device complexity
If a unified compliance framework is implemented, then complexity is reduced and standardization is achieved, but adaptability to specific compliance requirements may be limited
Solution Approach 1:
The patent applies dynamics by creating a flexible framework that can adapt to different compliance requirements through configurable compliance packs. The system allows users to select, customize, and combine packs based on their specific needs, enabling the unified framework to dynamically adjust to various compliance standards while maintaining overall standardization.
Solution Approach 2:
The patent applies local quality by allowing different compliance packs to have specialized characteristics tailored to specific standards (HIPAA, GDPR, PCI DSS) while operating within the unified framework. Each pack can be customized with standard-specific policies and rules, providing local adaptability within the broader standardized system.
4Productivity
If automated remediation is implemented, then continuous compliance is ensured and time is reduced, but system complexity increases
Solution Approach 1:
The patent merges compliance evaluation and remediation into a single integrated system. The same platform that defines and evaluates compliance also executes remediation actions, eliminating the need for separate automated remediation tools and reducing overall system complexity while maintaining high productivity.
Data Source
AI summary
Methods, systems, and computer-readable media for compliance lifecycle management for cloud-based resources are disclosed. A selection is received of a compliance pack from a plurality of compliance packs. The compliance pack comprises a plurality of rules associated with policy compliance. The compliance pack is selected from the plurality of compliance packs via a user interface. The selection is associated with one or more resources hosted in one or more provider networks. An evaluation is performed of compliance of the one or more resources with respect to the plurality of rules of the compliance pack. Data describing the evaluation is generated and displayed. The data comprises an aggregate compliance status for at least one of the one or more resources, and the aggregate compliance status represents an aggregate compliance with the plurality of rules.