Securing Agentic AI with the NIST Cybersecurity Framework 2.0

Metin, Bilgin, Karaca, Hikmet Sami, Iradat, Faisal and Wynn, Martin G ORCID: https://orcid.org/0000-0001-7619-6079 (2025) Securing Agentic AI with the NIST Cybersecurity Framework 2.0. In: ELECO 2025 INTERNATIONAL CONFERENCE on ELECTRICAL and ELECTRONICS ENGINEERING, November 27th - 29th, 2025, Bursa, Türkiye. (In Press)

Text 15609 Metin B et al (2025) Securing Agentic AI Conf paper version 2.0 Dec 2025.pdf - Accepted Version Restricted to Repository staff only until 26 February 2026. Available under License All Rights Reserved. Download (431kB)

Abstract

Agentic AI —LLM-powered autonomous agents— is reshaping cybersecurity paradigms, introducing a novel attack surface that exposes gaps in current security approaches. This Systematic Literature Review (SLR) of 30 peer-reviewed papers examines the emerging threats and mitigation strategies for these agentic systems. The review synthesizes evidence through a four-dimensional taxonomy derived from the OWASP Agentic AI Threats framework. Building on these findings, the paper proposes a new adaptation of the NIST Cybersecurity Framework (CSF) 2.0 to guide organizations in identifying, protecting, responding to, and recovering from risks associated with agentic AI. The presented framework provides a clear and practical method for securing agentic AI-driven systems in both enterprise and research contexts.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > T Technology (General)
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Depositing User:	Martin Wynn
Date Deposited:	04 Dec 2025 13:45
Last Modified:	04 Dec 2025 14:00
URI:	https://eprints.glos.ac.uk/id/eprint/15609

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