Intelligent Threat Prioritizing in Managed Security Services: an AI-Driven Method to Maximize Reaction Time

Authors

  • Prof. Samuel Owusu Department of Renewable Energy, Kwame Nkrumah University of Science and Technology, Ghana Author

Keywords:

AI-driven, intelligent threat prioritization, managed security services

Abstract

Intelligent threat prioritization influences incident reaction time and cybersecurity efficacy in managed security systems (MSS). Because cyber threats and security warnings are becoming more sophisticated, artificial intelligence (AI) systems can quickly analyze, prioritize, and react to them. This study examines MSS threat rating using AI. MSS providers may utilize machine learning and natural language processing to improve response times, threat assessment, and incident detection. This approach improves efficiency and reduces hazards immediately.

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Published

30-12-2022

How to Cite

[1]
P. S. Owusu, “Intelligent Threat Prioritizing in Managed Security Services: an AI-Driven Method to Maximize Reaction Time”, Essex Journal of AI Ethics and Responsible Innovation, vol. 2, pp. 364–369, Dec. 2022, Accessed: May 31, 2026. [Online]. Available: https://ejaeai.org/index.php/publication/article/view/53