IP Library Granted Patent US 8,539,589
Granted Patent B2
US 8,539,589 · App. 13/446,323 · Granted Sep 17, 2013

Adaptive configuration management system

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Quick Facts
Patent No.
US 8,539,589
App. No.
13/446,323
Granted
Sep 17, 2013
Kind
B2
Abstract

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.

Claims (18)

1. A system, comprising

one or more enterprise automated configuration management systems (ACMSes) for virtualized ecosystems, each enterprise ACMS deployed in an associated enterprise network in which its respective virtualized ecosystem is instantiated and comprising an electronic computing device configured to monitor and record data concerning security and compliance-related criteria of resources of the respective virtualized ecosystem;

a cloud-based ACMS communicatively coupled to each of the enterprise ACMSes and configured to receive from the enterprise ACMSes sets of information regarding procedures for maintaining security of the respective virtualized ecosystems of the respective enterprise networks, the cloud-based ACMS further configured to normalize the sets of information received from the enterprise ACMSes to produce virtualized ecosystem best practices for compliance-related operations and dynamic resource utilization within said virtualized ecosystems, and to distribute said best practices to said enterprise ACMSes, said best practices including recommendations regarding utilization and configuration settings for resources of the respective virtualized ecosystems, the configuration settings including security control settings to achieve compliance goals, and said recommendations being made according to desired risk profiles and being presented along with risk values associated with a risk of implementing a recommended change and a risk reduction value of said recommended change.

2. The system of claim 1 , wherein said recommendations comprise results of analyses of the data recorded by each enterprise ACMS during monitoring of compliance-related operations, measurement of dynamic resource utilization and capture of configuration change information concerning security and compliance criteria of respective resources of the respective virtualized ecosystem.

3. The system of claim 2 , wherein each enterprise ACMS is further configured to automatically implement some or all of the recommendations regarding configuration setting included in the best practices communicated by the cloud-based ACMS.

4. The system of claim 1 , wherein the cloud-based ACMS analyzes data concerning security and compliance criteria of resources of the respective virtualized ecosystems according to existing best practices established for said criteria.

5. The system of claim 4 , wherein the data is analyzed according to pattern and trend matching algorithms.

6. A method of automatically managing configuration and security controls of respective resources of a plurality of virtualized ecosystem, comprising:

establishing baseline configurations for the respective resources of each the plurality of virtualized ecosystems, the baseline configurations including security control settings;

at respective enterprise automated configuration management systems (ACMSes) for each of the virtualized ecosystems, monitoring and recording results of compliance-related operations across the respective resources of the virtualized ecosystems, measuring dynamic utilization of the respective resources of the virtualized ecosystems frequently enough to construct informative profiles of the respective resources, capturing configuration change information associated with the respective resources of the virtualized ecosystems, and reporting data recorded during said monitoring to a cloud-based ACMS;

at the cloud-based ACMS, analyzing and normalizing the data reported by each enterprise ACMSes to produce virtualized ecosystem best practices for compliance-related operations and dynamic resource utilization within said virtualized ecosystems, and distributing said best practices to said enterprise ACMSes, said best practices including recommendations regarding utilization and configuration settings for respective resources of the virtualized ecosystems, the configuration settings including security control settings to achieve compliance goals, and said recommendations being made according to desired risk profiles and being presented along with risk values associated with a risk of implementing a recommended change and a risk reduction value of said recommended change.

7. The method of claim 6 , further comprising, at each enterprise ACMS, implementing one or more of the recommendations automatically.

8. The method of claim 6 , wherein at least some of the recommendations and associated risk values are reviewed by an administrator before being implemented or not at the enterprise ACMSes.

9. The method of claim 6 , wherein the data is analyzed by the cloud-based ACMS according to existing best practices established for security and compliance criteria of respective resources of the virtualized ecosystems.

10. The method of claim 6 , wherein monitoring includes capturing information concerning rates of each type of operation and any causal relationships between them.

11. The method of claim 6 , wherein monitoring includes capturing information concerning scope and risk of each step associated with the operations.

12. The method of claim 6 , wherein monitoring includes capturing information concerning configuration changes that are initiated in response to the recommendations.

13. The method of claim 6 , wherein the analysis is performed using some or all of the following: pattern matching algorithms, trend analysis algorithms, or filtering of the data.

Assignments (6)
SECURITY INTEREST Recorded Mar 27, 2024
From: ENTRUST CORPORATION
To: BMO BANK N.A., AS COLLATERAL AGENT
Reel/Frame 066917/0024 →
MERGER Recorded Mar 18, 2024
From: HYTRUST, INC.
To: ENTRUST CORPORATION
Reel/Frame 066806/0262 →
SECURITY AGREEMENT Recorded Feb 1, 2021
From: HYTRUST, INC.
To: BMO HARRIS BANK, N.A., AS COLLATERAL AGENT
Reel/Frame 055190/0660 →
TERMINATION OF INTELLECTUAL PROPERTY SECURITY AGREEMENT Recorded Jan 7, 2021
From: SILICON VALLEY BANK
To: HYTRUST, INC.
Reel/Frame 054925/0059 →
SECURITY INTEREST Recorded Sep 24, 2019
From: HYTRUST, INC.
To: SILICON VALLEY BANK
Reel/Frame 050474/0933 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 13, 2012
From: PRAFULLCHANDRA, HEMMA; WEISZ, RUSSELL; BUDKO, RENATA; CHIU, ERIC MING; BELOV, BORIS
To: HYTRUST, INC.
Reel/Frame 028043/0202 →