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AI in Control: Rethinking Cybersecurity Compliance and Auditing
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Cybersecurity environments impose distinct and high reliability, auditability, and reproducibility requirements because incorrect or unverifiable automatic actions are commonly found.
“This approach is justified by the recent findings showing that cybersecurity environments impose distinct and high reliability, auditability, and reproducibility requirements because incorrect or unverifiable automatic actions are commonly found [9], [10], [11].”
From The Evolution of Agentic AI in Cybersecurity: From Single LLM Reasoners to Multi-Agent Systems and Autonomous Pipelines (2026) · cites this paper as [9]
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Vinay, V. (2026) · 2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC) · doi:10.1109/icaic67076.2026.11395809 · Cited by 15
Metadata
- Authors
- Loumachi, F. Y., Lacerda, M., Ouazzane, K., Adnane, A., & Adamyk, O.
- Affiliations
- London Metropolitan University (GB)
- Loughborough University (GB)
- Corresponding author
- Loumachi, Fatma Yasmine
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2025
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W4416308259
- Cited by
- 0
- References
- 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (acceptedVersion)
- London Met Repository (London Metropolitan University) (submittedVersion)
- Topics
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- artificial intelligence, cybersecurity compliance, cybersecurity auditing, AI governance
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