Adaptive Configuration Management for Virtualized Ecosystems

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Solution Overview

Problem

Existing virtualization platforms face security risks such as unauthorized access and resource denial due to static configuration management systems that rely on pre-defined best practices, which do not adapt to changing environments or learn from new data.

Innovation Solution

An automated configuration and security control management system (ACMS) that analyzes data from virtualized ecosystems, recommends and applies dynamic configuration changes and security controls based on past behaviors, usage patterns, and compliance criteria, and learns from implementations to continuously enhance security and compliance postures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Stability of the object's composition

If static configuration management based on pre-defined best practices is used, then configuration consistency and initial security posture are improved, but adaptability to changing environments and ability to learn from new data deteriorate

Engineering Contradiction:
Improveconfiguration consistencyVSAvoidadaptability to changing environments
Core Design Contradiction:
Stability of the object's compositionVSAdaptability or versatility

Solution Approach 1:

The patent transforms the static configuration management system into a dynamic one by implementing continuous monitoring of configuration states, resource usage patterns, and security events. The system automatically adapts configurations in real-time based on detected anomalies, changing workloads, and emerging security threats, thereby maintaining both consistency and adaptability simultaneously

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system establishes closed-loop feedback mechanisms where configuration performance and security metrics are continuously measured, analyzed, and fed back into the configuration management process. This enables the system to learn from operational data and automatically adjust configurations to optimize both consistency and environmental adaptability

Inventive Principle:
Principle #23Feedback

2Loss of time

If static configuration management based on pre-defined best practices is used, then implementation time and cost are reduced, but security response to new threats and compliance with evolving standards deteriorate

Engineering Contradiction:
Improveimplementation timeVSAvoidsecurity response to new threats
Core Design Contradiction:
Loss of timeVSReliability

Solution Approach 1:

The system pre-configures multiple security policies and compliance profiles based on anticipated threats and regulatory requirements. When new threats or compliance needs arise, the system can rapidly deploy pre-prepared configurations rather than developing them from scratch, thus maintaining fast implementation while improving security response capability

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The configuration management system automatically generates, tests, and deploys security configurations without requiring manual intervention for each change. This self-service capability enables rapid response to emerging threats by automatically analyzing security events and applying appropriate configuration changes, reducing both implementation time and improving security reliability

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS8539589B2Adaptive configuration management system
Publication Date: 2013.09.17 ENTRUST CORP
  • US8539589B2 patent drawing
  • US8539589B2 patent drawing
  • US8539589B2 patent drawing

AI summary

An automated configuration management system (ACMS) oversees resources of a virtualized ecosystem by establishing a baseline configuration (including, e.g., security controls) for the resources; and, repeatedly, monitoring and collecting data from the resources, analyzing the data collected, making recommendations concerning configuration changes for the resources of the virtualized ecosystem based on the analysis, and either adopting and implementing the recommendations or not, wherein new states of the virtualized ecosystem and reactions to recommended changes are observed and applied in the form of new recommendations, and/or as adjustments to the baseline. The recommendations may be implemented automatically or only upon review by an administrator before being implemented or not. The various data may be analyzed according to benchmarks established for security and compliance criteria of the resources of the virtualized ecosystem, for example static/pre-defined or dynamically derived benchmarks/best practices.