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Modeling Processes and Outcomes From Cybersecurity Talent Gaps in Global Labor Markets
Abstract
Many experience cybersecurity talent gaps at a local level. They see positions that go unfilled or filled with people without the requisite skills; they see data and identity compromises, projects that are stymied, and heightened risks. They have to address this gap locally by educating individuals through the talent pipeline, supporting learning and training programs, cross-training employees into cybersecurity endeavors, placing classified ads/head-hunting and hiring ever-more-expensive talent, and so on. They go to outside vendors to support the work. For those in the proverbial trenches, understanding this global labor market challenge at the 30,000-foot level may be helpful. This work models the projected processes and outcomes of the cybersecurity talent gap through multiple means: a review of the literature, general systems theory, social network analysis, game theory, and abductive logic, and up-to-date data.
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