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OPTIMIZING CYBER PROTECTION TEAM OPERATIONS: AN ANALYSIS OF TASK SYNCHRONIZATION AND PROCESS AGILITY IN DEFENSIVE CYBER OPERATIONS

Authors: Logan, Grayson C.; Harpey, Nicolas R.;

OPTIMIZING CYBER PROTECTION TEAM OPERATIONS: AN ANALYSIS OF TASK SYNCHRONIZATION AND PROCESS AGILITY IN DEFENSIVE CYBER OPERATIONS

Abstract

The operations process outlined in the U.S. Cyber Command’s (USCYBERCOM) Cyber Warfare Publication (CWP) 3-33.4, Cyber Protection Team Organization, Functions, and Employment, is currently hindered by inefficiencies stemming from a lack of synchronization between task assignment and execution. This disjointed approach results in a rigid, linear project lifecycle that fails to adapt to the dynamic tempo and increasing sophistication of adversarial cyber operations, impeding the CPT's ability to meet the strategic intent of USCYBERCOM, which emphasizes agility, creativity, and rapid deployment. This study critically examines the existing CPT operations process to identify the average timeline of defensive cyber operation (DCO) missions to highlight key misalignments that hinder operational effectiveness. By deconstructing the process into discrete work packages and analyzing task dependencies and critical paths through project management tools, an average-case scenario is determined. The results show that the timeline is highly variable and excessively long, underscoring structural inefficiencies. This research highlights five issues: (1) lengthy duration, (2) hidden dependencies, (3) chokepoints, (4) lack of identifiable critical path, and (5) lack of agile methodology. The CPT operations process requires more flexibility, real-time feedback loops, and dynamic task sequencing to enhance the synchronization of phases and enable timelier and more effective DCOs.

Distribution Statement A. Approved for public release: Distribution is unlimited.

Ensign, United States Navy

Keywords

task synchronization, agile methodologies, DCO, defensive cyber operation, process optimization, CPT, Cyber Protection Team

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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