The Outlook of Cyber Security in African Businesses: Issues and Way-Out

Authors

  • Adedayo Ayomide Adeniran ‎Department of Geography and Planning, University of Ibadan, Nigeria.
  • Adetayo Olaniyi Adeniran ‎Department of Transport Planning and Logistics, University of Ilesa, Nigeria.
  • Olayemi Babawole Familusi ‎Department of Research and Public Policy, University of Ibadan, Nigeria, Nigeria.
  • Oluwafemi Adedayo ‎Project Strategy and Business Management, University of Waterlo, Canada‎.

DOI:

https://doi.org/10.22105/masi.v1i2.54

Keywords:

Cyber security, African businesses, Business, Artificial intelligence

Abstract

This study explores the outlook of cyber security in African businesses. Issues and ways out in a changing environment were highlighted. Cybersecurity measures need to be strengthened because cybercrime is estimated to cost the African continent about $10 billion annually. With just 20,000 certified cyber security specialists in Africa compared to over 1.3 million in the US, the study emphasizes African firms' low awareness and understanding. Based on empirical research and worldwide cyber security indexes, the paper analyzes the main obstacles to successful cyber security measures, such as resource limitations, knowledge gaps, and insufficient legislative frameworks. It also delved into real-world implementation problems, including disjointed infrastructure and linguistic hurdles. The report suggests cyber security awareness, utilizing technology, and encouraging cooperation through public-private partnerships to minimize these issues. The study further highlights the application of Artificial Intelligence (AI), which is revolutionizing cyber security defenses and promoting the adoption of cyber security in Africa. African businesses can negotiate the complicated cyber security landscape, resulting in a more reliable and secure digital environment and enormous potential for economic growth.   

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Published

2024-11-20

How to Cite

The Outlook of Cyber Security in African Businesses: Issues and Way-Out. (2024). Management Analytics and Social Insights, 1(2), 260-271. https://doi.org/10.22105/masi.v1i2.54

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