Irambona, Ezechias and Emmanuel, Bugingo and Emmanuel, Tunezerwe (2025) Implementation of AI-Powered Cybersecurity Solutions in Rwanda's Government Institutions: Case Study RISA Institution. International Journal of Innovative Science and Research Technology, 10 (4): 25apr975. pp. 1583-1592. ISSN 2456-2165

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Abstract

As rwanda undergoes an accelerated transition towards digitalization, ai-powered cybersecurity solutions have emerged as a critical strategy to enhance the security posture of governmental institutions. This study investigates the impact of ai on improving real-time threat detection, ensuring data protection, and boosting the overall capabilities of cybersecurity within rwanda's government sector. The findings demonstrate that ai significantly improves response times to cyber threats and strengthens data security. However, challenges such as the lack of specialized expertise and high implementation costs hinder broader adoption. Despite a high awareness of ai-driven cybersecurity solutions (93.5%), adoption rates remain low at 54.8%, revealing a gap between recognition and implementation. The study proposes a systematic approach for ai integration, emphasizing the identification of security needs, seamless integration with existing systems, and strategic planning for ai-driven security measures. The paper concludes with recommendations for policymakers and government institutions, urging the development of ai skills, increased investment in cybersecurity resources, and the creation of clear legal frameworks to address privacy concerns and prevent misuse. Future research should explore cost-effective ai solutions tailored to rwanda’s specific cybersecurity needs, enhancing adaptability and resilience.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Editor IJISRT Publication
Date Deposited: 30 Apr 2025 11:19
Last Modified: 30 Apr 2025 11:19
URI: https://eprint.ijisrt.org/id/eprint/634

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