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
