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AI-Enabled Threat Intelligence and Cyber Risk Assessment
University of Tirana, Albania.ORCID iD: 0000-0002-0684-7590
University of New York, Albania.ORCID iD: 0000-0002-8260-2392
Linnaeus University, Faculty of Technology, Department of Informatics. (Data-driven Business Innovation)ORCID iD: 0000-0001-7520-695X
2025 (English)Collection (editor) (Refereed)
Sustainable development
SDG 9: Build resilient infrastructure, promote inclusive and sustainable industrialization, and foster innovation
Abstract [en]

AI-Enabled Threat Intelligence and Cyber Risk Assessment delves into the transformative potential of artificial intelligence (AI) in revolutionizing cybersecurity, offering a comprehensive exploration of current trends, challenges, and future possibilities in mitigating cyber risks. This book brings together cutting-edge research and practical insights from an international team of experts to examine how AI technologies are reshaping threat intelligence, safeguarding data, and driving digital transformation across industries. The book covers a broad spectrum of topics, including AI-driven fraud prevention in digital marketing, strategies for building customer trust through data privacy, and the role of AI in enhancing educational and healthcare cybersecurity systems. Through in-depth analyses and case studies, it highlights the barriers to AI adoption, the legal and ethical considerations, and the development of resilient cybersecurity frameworks. Designed for academics, professionals, and students, AI-Enabled Threat Intelligence and Cyber Risk Assessment serves as an essential resource for understanding the intersection of AI, cybersecurity, and risk assessment. 

Place, publisher, year, edition, pages
UK: Routledge, 2025. , p. 248
Keywords [en]
Artificial Intelligence, Cyber Threat Intelligence, Cyber Risk Assessment, Machine Learning in Cybersecurity, AI Ethics in Cybersecurity, AI and Cybersecurity Policy
National Category
Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science, Information Systems
Identifiers
URN: urn:nbn:se:lnu:diva-137144ISBN: 9781032825199 (print)OAI: oai:DiVA.org:lnu-137144DiVA, id: diva2:1943058
Available from: 2025-03-07 Created: 2025-03-07 Last updated: 2025-03-10Bibliographically approved

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https://www.routledge.com/AI-Enabled-Threat-Intelligence-and-Cyber-Risk-Assessment/Martiri-Vajjhala-Dalipi/p/book/9781032825199

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Martiri, EdliraNarasimha, Rao VajjhalaDalipi, Fisnik
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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Output format
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  • asciidoc
  • rtf