Authors :
Ezechias Irambona; Dr. Bugingo Emmanuel; Tunezerwe Emmanuel
Volume/Issue :
Volume 10 - 2025, Issue 4 - April
Google Scholar :
https://tinyurl.com/2dtap4f8
Scribd :
https://tinyurl.com/3snjcdkh
DOI :
https://doi.org/10.38124/ijisrt/25apr975
Google Scholar
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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.
Keywords :
Artificial Intelligence, Cybersecurity, Real-Time Threat Detection, Automated Response, Data Privacy, Workforce Competency, Governmental Institutions.
References :
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- R. Adams and T. Harris, "Cybersecurity culture in organizations," Cybersecurity Review, 2023.
- T. Adams, "Leveraging AI and machine learning for real-time threat detection," Cybersecurity Advances, 2024. Ali, B. Aiswarya, B. Ezedin, and S. Khaled, "AI-powered biometrics for Internet of Things security: A review and future vision," Elsevier, vol. 23, 2024.
- National Cybersecurity Authority, "National Cybersecurity Strategy of Rwanda 2024-2029," p. 19, 2024. R. Baral, L. Susskind, D. J. Weitzner, and A. Wu, "Municipal cyber risk modeling using cryptographic computing to inform cyber policymaking," 2024.
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- P. Johnson and S. Miller, "Continuous monitoring for modern cybersecurity," International Cybersecurity Review, 2024.
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- LeewayHertz, "AI in Incident Response," Exploring Use Cases, Solutions, and Benefits. [Online]. Available: https://www.leewayhertz.com/ai-in-incident-response/.
- M. Taddeo, T. McCutcheon, and L. Floridi, "Trusting Artificial Intelligence in Cybersecurity Is a Double-Edged Sword," Springer International Publishing, 2021.
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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.
Keywords :
Artificial Intelligence, Cybersecurity, Real-Time Threat Detection, Automated Response, Data Privacy, Workforce Competency, Governmental Institutions.