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A Review of Cyber Threat (Artificial) Intelligence in Security Management
Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Sweden.ORCID iD: 0000-0003-1692-5721
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Information Systems)ORCID iD: 0000-0002-5286-4850
2023 (English)In: Artificial Intelligence and Cybersecurity: Theory and Applications / [ed] Tuomo Sipola; Tero Kokkonen; Mika Karjalainen, Cham: Springer Nature Switzerland AG , 2023, 1, p. 29-45Chapter in book (Refereed)
Abstract [en]

Managing cybersecurity within organizations typically relies on careful consideration and management of its risks. By following an iterative—often sequential—risk management process, an organization’s exposure to risks can be assessed by weighing organizational digital asset values against the probability of being harmed by a threat [29]. However, this approach has been criticized for reflecting only a snapshot of the organization’s assets and threats. Furthermore, identifying threats and the ability to remain updated on current threats and vulnerabilities are often dependent on skilled and experienced experts, causing risks to be primarily determined based on subjective judgment [46]. Nevertheless, this also poses a challenge to organizations that cannot stay up-to-date with what assets are vulnerable or attain personnel with the necessary experience and know-how to obtain relevant information on cybersecurity threats towards those assets [8, 30, 37].

Place, publisher, year, edition, pages
Cham: Springer Nature Switzerland AG , 2023, 1. p. 29-45
National Category
Information Systems
Research subject
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-22135DOI: 10.1007/978-3-031-15030-2_2Scopus ID: 2-s2.0-85160500378ISBN: 978-3-031-15029-6 (print)ISBN: 978-3-031-15032-6 (print)ISBN: 978-3-031-15030-2 (electronic)OAI: oai:DiVA.org:his-22135DiVA, id: diva2:1720068
Note

© 2022 Springer Nature Switzerland AG. Part of Springer Nature.

Available from: 2022-12-16 Created: 2022-12-16 Last updated: 2025-09-29Bibliographically approved

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