Ai-Enabled Threat Intelligence and Cyber Risk Assessment

1. Auflage 2025
ISBN: 978-1-032-82519-9
Verlag: CRC Press

Buch, Englisch, 248 Seiten, Format (B × H): 156 mm x 234 mm

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.

Special emphasis is given to regional insights, such as the digital transformation of Kazakh businesses and the integration of AI in diverse global contexts, offering valuable lessons for researchers, policymakers, and practitioners. From safeguarding patient data in healthcare to addressing automated threats in digital marketing, this book provides actionable strategies and emerging perspectives on the evolving landscape of AI in risk management. 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. With contributions from leading researchers across various disciplines, this book underscores the critical role of AI in building resilient, ethical, and innovative solutions to today’s most pressing cybersecurity challenges.

Zielgruppe

Professional Practice & Development, Professional Reference, and Professional Training

Autoren/Hrsg.

Martiri, Edlira

Vajjhala, Narasimha Rao

Dalipi, Fisnik

Fachgebiete

• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Versicherungswirtschaft
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Risikobewertung, Risikotheorie

Inhaltsverzeichnis

Foreword Preface Editor Biographies List of Contributors Chapter 1 AI-Enabled Cyber Threat Intelligence and Cyber Risk Assessment – Current Trends and Future Directions Chapter 2 The Role of Artificial Intelligence (AI) in Combating Digital Marketing Frauds and Bot Attacks Chapter 3 Building Customer Trust: Safeguarding Data Privacy in the Era of AI-Enabled Cybersecurity Chapter 4 Upskilling the Educational Workforce for AI-Enhanced Cybersecurity: A Thematic and Trend Analysis Chapter 5 AI-Enabled Threat Intelligence and Cyber Risk Assessment in the Digital Transformation of Kazakhstan Businesses Chapter 6 Ethical and Legal Considerations in Artificial Intelligence Chapter 7 Capitalizing on the Transformative Role of AI and Human Capital to Strengthen Cybersecurity in Healthcare: Safeguarding Patient Data and Advancing Regulatory Compliance Chapter 8 Exploring the future of AI in Cyber Threat Intelligence Chapter 9 Building Resilient AI-Enabled Cybersecurity Frameworks Chapter 10 The Evolving Landscape of AI in Threat Intelligence and Risk Assessment

Über Autor(innen)

Edlira Martiri is an Associate Professor at the University of Tirana, where she works as a researcher and lecturer. She has a background in Computer Science and Information Security and has been awarded two Ph.D. degrees from the University of Tirana, and NTNU, Norway. Both of her doctoral dissertations concentrated on data protection, with the first on images and the second on Biometric Systems and Machine Learning, highlighting her specialized knowledge in Information Security. Apart from her research work she has been involved in different roles in the industry where she has experience in threat analysis, attacker scenario modelling, risk management, and more.

Narasimha Rao Vajjhala currently serves as the Dean of the Faculty of Engineering and Architecture at the University of New York Tirana in Albania. He previously held the position of Chair for the Computer Science and Software Engineering programs at the American University of Nigeria. Dr. Vajjhala is a senior member of both the ACM and IEEE. He is the Editor-in-Chief of the International Journal of Risk and Contingency Management (IJRCM) and a member of the Risk Management Society (RIMS) and the Project Management Institute (PMI). With over 23 years of experience, Dr. Vajjhala has taught programming and database-related courses across Europe and Africa at both graduate and undergraduate levels. He has also worked as a consultant for technology firms in Europe and participated in EU-funded projects. Dr. Vajjhala holds a Doctorate in Information Systems and Technology from the United States, a Master of Science in Computer Science and Applications from India, and a Master of Business Administration specializing in Information Systems from Switzerland.

Fisnik Dalipi holds a PhD in Computer Science and is currently working as an associate professor at the Department of Informatics of Linnaeus University (LNU) in Sweden. Besides, he also holds the title associate professor in information systems from the University of South-Eastern Norway, where he was previously working. His research embodies a robust interdisciplinary approach, leveraging computational approaches to address digitalization challenges in both industry and society. It bridges technology and societal needs, with a focus on areas like digital transformation and sustainable development. Dr. Dalipi's work emphasizes secure, efficient, and transformative data solutions to drive industry/society progress and innovation. His research applies AI to various domains, including security and privacy. Recently, he has been addressing blockchain and AI's role in improving privacy and security mechanisms in digital environments. He has been supervising students at different academic levels and has been involved in the development and curriculum preparation at all academic levels. He is actively serving as a program committee member and reviewer in many international conferences, workshops, and journals.