What question did this study set out to answer?

This research aims to evaluate cybersecurity practices and data protection mechanisms in a private telecommunications entity in Zimbabwe.

February 14, 2026Open Access

Evaluating Cybersecurity, Data Protection, and Safe AI Training in a Private Telecommunications Entity in Zimbabwe

Key Points

This research aims to evaluate cybersecurity practices and data protection mechanisms in a private telecommunications entity in Zimbabwe.
Mixed-methods approach to assess cybersecurity and data protection practices.
Evaluation of organizational preparedness and employee awareness.
Review of governance frameworks and compliance with AI safety standards.
Foundational cybersecurity controls are in place, but advanced threat detection needs improvement.
Employee training on cybersecurity practices is inconsistent.
Moderate alignment with data protection regulations, but enforcement and awareness among staff are lacking.

Abstract

Abstract: The rapid digital transformation of the telecommunications sector has intensified cybersecurity threats, data protection risks, and ethical challenges associated with artificial intelligence (AI). This study evaluates cybersecurity practices, data protection mechanisms, and safe AI training within a private telecommunications entity in Zimbabwe. Using a mixed-methods research approach, the study assesses organizational preparedness, employee awareness, governance frameworks, and compliance with data protection and emerging AI safety standards. Findings indicate that while foundational cybersecurity controls exist, gaps remain in advanced threat detection, employee training consistency, and structured AI governance. Data protection compliance shows moderate alignment with statutory requirements, though enforcement and staff awareness are uneven. The study concludes that effective cybersecurity and safe AI adoption require integrated governance frameworks, continuous training, and leadership commitment. The article contributes to limited empirical literature on cybersecurity and AI governance in Zimbabwe’s private sector and provides practical recommendations for strengthening digital resilience in telecommunications firms. Keywords: Artificial Intelligence, Board Induction, Data Protection, Private Communications Entity, Zimbabwe. Title: Evaluating Cybersecurity, Data Protection, and Safe AI Training in a Private Telecommunications Entity in Zimbabwe Author: Enock Panganayi Mawuye International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Vol. 14, Issue 1, January 2026 - March 2026 Page No: 104-109 Research Publish Journals Website: www.researchpublish.com Published Date: 09-February-2026 DOI: https://doi.org/10.5281/zenodo.18536136 Paper Download Link (Source) https://www.researchpublish.com/papers/evaluating-cybersecurity-data-protection-and-safe-ai-training-in-a-private-telecommunications-entity-in-zimbabwe

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Evaluating Cybersecurity, Data Protection, and Safe AI Training in a Private Telecommunications Entity in Zimbabwe

Key Points

Abstract

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