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Cited by 90Network Security and Intrusion DetectionInformation and Cyber SecurityAdversarial Robustness in Machine Learning

Transforming cybersecurity with agentic AI to combat emerging cyber threats

Open access
Kshetri, Nir·2025·Telecommunications Policy
DOI 10.1016/j.telpol.2025.102976
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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.

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Crossref · 10.1016/j.telpol.2025.102976

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  • Conversational agents will become increasingly integrated into software development to improve software test case development, ML workflow improvement, and SOC automation through natural language interpretation, test case generation, pipeline and incident monitoring and detection, rule zero-trust enforcement, and multi-agent interaction coordination.

    “Conversational agents will become increasingly integrated into software development to improve software test case development, ML workflow improvement, and SOC automation through natural language interpretation, test case generation, pipeline and incident monitoring and detection, rule zero-trust enforcement and multi-agent interaction coordination [115-117].”

    From The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges (2025) · cites this paper as [117]

  • In applications where action or intelligence is needed, such as for safety or efficiency management through automation with utilities, robotics or autonomous vehicles or processes and systems, agentic AI systems use action-based datasets to learn how to recognize anomalies, mitigate threats, or identify the best actions to optimize processes.

    “In applications where action or intelligence is needed, such as for safety or efficiency management through automation with utilities, robotics or autonomous vehicles or processes and systems (such as supply chains), agentic AI systems use action-based datasets, which contain information about conducted actions, so they can learn how to recognize anomalies [117], mitigate threats, or identify the”

    From The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges (2025) · cites this paper as [117]

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Authors
Kshetri, N.
Affiliations
University of North Carolina at Greensboro (US)
Corresponding author
Kshetri, Nir
ORCID
Kshetri, Nir
Venue
Telecommunications Policy
Publisher
Elsevier BV
Published
2025-07
Volume
49
Issue
6
Pages
102976
ISSN
0308-5961 (ISSN-L)
DOI
10.1016/j.telpol.2025.102976
OpenAlex
W4409676367
Cited by
69
References
17
Citations by year
2026: 40 · 2025: 29
FWCI
29.16
Type
journal article
Language
en
Open access
Licence
Locations
  • Telecommunications Policy (publishedVersion, cc-by)
  • SSRN Electronic Journal (acceptedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
  • Physical Sciences › Computer Science › Artificial Intelligence › Adversarial Robustness in Machine Learning
Keywords
agentic AI, cybersecurity, emerging cyber threats, security operations center, incident response, threat detection, AI-driven decision-making, AI vulnerabilities, cybersecurity risks, cybersecurity framework

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