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DS4.10 - Post-resumption Review

This topic is intended to enable collaboration and sharing of information to facilitate a better understanding and approach to implementing this COBIT control objective based on the risk, value and guidance provided by its corresponding control practices.

COBIT Control Objective DS4.10 - Post-resumption Review is contained within Process Popup Ensure Continuous Service.

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Post-resumption Review

Determine whether IT management has established procedures for assessing the adequacy of the plan in regard to the successful resumption of the IT function after a disaster, and update the plan accordingly.

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Value Drivers

  • Updated recovery plans
  • Objectives met by the recovery plans
  • Adequate resumption plans according to business needs
  Risk Drivers
  • Inappropriate recovery plans
  • Recovery plans failing to meet business needs
  • Objectives not met by the recovery plans

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  1. Using the problem and activity log of recovery activities, identify the shortcomings of the plan after re-establishing normal processing, and agree on opportunities for improvement to include in the next update of the IT continuity plan.

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Volume 3, 2107
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The SoA is a continuously updated and controlled document that provides an overview of information security implementation.
Volume 1, 2018
by Mike Van Stone, CISA, CISSP, CPA, and Ben Halpert
Ever-changing laws continue to increase the risk and cost of noncompliance when unintentional data losses occur.
Volume 1, 2018
by Ian Cooke, CISA, CGEIT, CRISC, COBIT Assessor and Implementer, CFE, CPTE, DipFM, ITIL Foundation, Six Sigma Green Belt
Innovative technologies such as VMs and the cloud help the efficiency and effectiveness of backup and recovery plans, but they do not replace the need to plan, document, or test and test again.
Volume 1, 2018
by Mohammed J. Khan, CISA, CRISC, CIPM
To facilitate and administer the implementation of controls around the subject of big data, one must truly understand the concepts of deidentification, reidentification and anonymization.
Volume 1, 2018
by Adeniyi Akanni, Ph. D., CISA, CRISC, ITIL
This article describes a six-stage cycle of implementing big data in commercial banks, points out the major challenges in implementation and provides a suggested solution.
Volume 1, 2018
by Andrew Clark
With advances in computing power, the abundance of data storage and recent advances in algorithm design, machine learning is increasingly being utilized by corporations to...

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Blog Posts: 38 total

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