Transforming cybersecurity with agentic AI to combat emerging cyber threats

IF 5.9 2区 管理学 Q1 COMMUNICATION
Nir Kshetri
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引用次数: 0

Abstract

This paper investigates the transformative potential of agentic AI in cybersecurity, specifically addressing how it can enhance practices in response to emerging threats. It aims to explore how agentic AI can transform cybersecurity practices, particularly in addressing new and evolving threats, while also examining the cybersecurity risks associated with its integration. The research explores the possibilities for agentic AI to automate critical tasks within Security Operations Centers (SOCs), such as decision-making, incident response, and threat detection. It also emphasizes the risks associated with AI integration, including the introduction of new vulnerabilities and challenges in managing automated systems, which call for a reassessment of existing cybersecurity frameworks to effectively address these risks.
用人工智能改变网络安全,应对新出现的网络威胁
本文研究了代理人工智能在网络安全中的变革潜力,特别是解决了它如何加强应对新出现的威胁的实践。它旨在探索人工智能如何改变网络安全实践,特别是在应对新的和不断发展的威胁方面,同时还研究与人工智能集成相关的网络安全风险。该研究探索了人工智能在安全运营中心(soc)内自动化关键任务的可能性,如决策、事件响应和威胁检测。它还强调了与人工智能集成相关的风险,包括在管理自动化系统方面引入新的漏洞和挑战,这需要重新评估现有的网络安全框架,以有效地解决这些风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Telecommunications Policy
Telecommunications Policy 工程技术-电信学
CiteScore
10.80
自引率
12.50%
发文量
122
审稿时长
38 days
期刊介绍: Telecommunications Policy is concerned with the impact of digitalization in the economy and society. The journal is multidisciplinary, encompassing conceptual, theoretical and empirical studies, quantitative as well as qualitative. The scope includes policy, regulation, and governance; big data, artificial intelligence and data science; new and traditional sectors encompassing new media and the platform economy; management, entrepreneurship, innovation and use. Contributions may explore these topics at national, regional and international levels, including issues confronting both developed and developing countries. The papers accepted by the journal meet high standards of analytical rigor and policy relevance.
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