The role of AI in information security risk management
Independent Researcher, London, United Kingdom.
Review
World Journal of Advanced Engineering Technology and Sciences, 2022, 07(02), 308–319.
Article DOI: 10.30574/wjaets.2022.7.2.0128
Publication history:
Received on 28 September 2022; revised on 25 November 2022; accepted on 28 November 2022
Abstract:
Artificial Intelligence, or AI, has been integral to information security risk management due to its advanced threat detection, predictive analytics, and automatic response capabilities. Our work in this paper studies where AI can be applied to replace existing approaches in security and how it can change from detecting and responding to taking a more proactive security stance in defending digital assets. AI equips organizations to discover and diminish security risks in real-time by leveraging machine learning, natural language processing, and behavioral examination technologies. AI-driven security solutions apply in key sectors like finance, healthcare, and government, such as detecting fraudulent activity, protecting patient data, and ensuring the nation's cybersecurity. This indicates how broad AI has been. While it offers a great deal, deploying AI for information security poses a challenge, as do privacy concerns, high implementation costs, and the need for specialized expertise to work with AI. Moreover, there is a need to sustain human oversight to achieve ethical and context-aware decisions. This paper concludes that we should adopt a balanced, collaborative path to integrate AI with human judgment to achieve a resilient, adaptive, and secure digital environment.
Keywords:
Artificial Intelligence; Information Security; Risk Management; Threat Detection; Machine Learning; Predictive Analytics
Full text article in PDF:
Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0