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The Global Cybersecurity Workforce Shortage and the Potential of Artificial Intelligence

Flynn, Karl (2024) The Global Cybersecurity Workforce Shortage and the Potential of Artificial Intelligence. Masters thesis, Dublin, National College of Ireland.

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Abstract

As technology becomes more integral to every facet of society, and the modern world becomes increasingly digitised, the threat of cyber-attacks to governments, organisations and individuals represents a significant risk factor. The field of Cybersecurity is tasked with protecting governments, organisations and individuals against these threats. Cyber-attacks are becoming increasingly advanced, threat actors are becoming increasingly sophisticated, new working practices and governmental regulations are increasing the workload of already pressurised Cyber teams. While this is happening, there is a significant and growing shortage of Cybersecurity professionals globally, even though there is global understanding of the criticality of the issue, and some actions have been taken to try and mitigate the issue, demand is still outstripping supply year on year.

This study researches the increasing demand for Cybersecurity professionals, what’s driving that and the impact of the Covid-19 pandemic on demand for Cyber professionals. The study also researches the global Cybersecurity workforce shortage and the numbers of Cyber professionals needed globally. The research study also investigates what attempts have been made to mitigate that shortage and how effective those efforts have been. The research study then investigates the capabilities of Artificial Intelligence, and it’s potential in helping mitigate the workforce shortage. The primary research consisted of ten in-depth interviews, with open-ended questions. The ten interview subjects, consisted of Cybersecurity stakeholders, five of the interviewees were directly involved in the hiring process as HR professionals or hiring managers, or part of the hiring team. Thematic analysis was used to identify themes and patterns within the data, then an inductive approach was used to identify findings and encourage discussion. The aim of the research is to study the existing literature, gain insights from the primary research interviewees and determine if Artificial Intelligence can help mitigate the Cybersecurity workforce shortage.

Item Type: Thesis (Masters)
Supervisors:
Name
Email
Hurley, David
UNSPECIFIED
Subjects: Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence
Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence
Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
H Social Sciences > HD Industries. Land use. Labor > Issues of Labour and Work
Divisions: School of Business > Master of Business Administration
Depositing User: Ciara O'Brien
Date Deposited: 17 Jun 2025 16:44
Last Modified: 17 Jun 2025 16:44
URI: https://norma.ncirl.ie/id/eprint/7883

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