Protecting and Mitigating Against Cyber Threats

28AI and ML Application in Cybersecurity Hazard Recognition: Challenges, Opportunities, and Future Perspectives in Ethiopia, Horn of Africa

Shashi Kant^* and Metasebia Adula

Department of Management, College of Business and Economics, Bule Hora University, Bule Hora, Ethiopia

Abstract

Risk awareness analysis is essential in the field of cyber security to identify and prevent probable threats. Ethiopia has significant probable and challenges when it comes to the use of artificial intelligence (AI) and machine learning (ML). This abstract examines the challenges, probable prospects, and future perspectives associated with utilizing AI and ML for hazard acumen analysis in Ethiopia. Restricted resources and expertise, rapidly changing hazard landscape, limited information allocation, authorized and regulatory constraints, geopolitical considerations, and limited local hazard acumen information are some of the challenges in applying AI and ML for hazard acumen examination in Ethiopia. These challenges make it more difficult to properly collect, analyze, and use information on risk awareness, which jeopardizes the entire security ecosystem. To overcome these challenges, collaboration between governmental agencies, businesses, and the informatics security community is essential. The establishment of local software for hazard awareness, the promotion of information sharing techniques, investment in cyber security talent development, and the learning of public-private teamwork are ...