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Metin, Bilgin, Karaca, Hikmet Sami, Iradat, Faisal and Wynn, Martin G 
ORCID: https://orcid.org/0000-0001-7619-6079
(2026)
Securing Agentic AI with the NIST Cybersecurity Framework 2.0.
In: 16th International Conference on Electrical and Electronics Engineering (ELECO) 2025, 27-29 November 2025, Bursa, Türkiye.
ISBN 9798331546946
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Text (Peer-reviewed version)
16097 Wynn (2026) Securing agentic AI with the NIST.pdf - Accepted Version Available under License Creative Commons Attribution 4.0. Download (396kB) | Preview |
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) |
|---|---|
| Uncontrolled Keywords: | Agentic AI; Prevention and mitigation; Taxonomy; Buildings; Organizations; NIST; Computer security; Systematic literature review |
| Subjects: | Q Science > Q Science (General) > Q336 Artificial intelligence Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Schools and Research Institutes > School of Business, Computing and Social Sciences |
| Depositing User: | Martin Wynn |
| Date Deposited: | 13 Apr 2026 09:30 |
| Last Modified: | 16 Apr 2026 10:00 |
| URI: | https://eprints.glos.ac.uk/id/eprint/16097 |
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