Description
As digital ecosystems and cyber threats become even more complex, organizations are seeking tools to strengthen their defenses and manage risk more proactively. Generative AI offers a transformative approach to cyber risk management by enabling intelligent threat prediction and dynamic response strategies tailored to evolving attack vectors. By simulating diverse threat scenarios and supporting more informed decision-making, generative AI empowers security teams to stay ahead of adversaries. Integrating this technology into cybersecurity tools not only increases resilience but also helps organizations navigate an ever-changing risk landscape with greater precision and confidence.
Generative AI for Cyber Risk Management explores the transformative role of generative AI technologies in cyber risk management. This book examines the integration of AI-driven models to predict and manage cyber threats. Covering topics such as AI, risk management, and digital ecosystems, this book is an excellent resource for academicians, researchers, industry professionals, technology developers, policy makers, and graduate students.
Author's/Editor's Biography
Yassine Maleh (Ed.)
Prof.
Yassine Maleh
is a PhD of the University Hassan 1st in Morocco in the field of Internet of Things Security and privacy, since 2013. He is Senior Member of IEEE, Member of the International Association of Engineers IAENG and The Machine Intelligence Research Labs. Dr Maleh has made contributions in the fields of information security and privacy, Internet of Things Security, Wireless and Constrained Networks Security. His research interests include Information Security and Privacy, Internet of Things, Networks Security, Information system and IT Governance. He has published over than 50 papers (Book chapters, international journals and conferences/workshops), and 4 edited books and 1 authored book. He is the editor in chief of the International Journal of Smart Security Technologies (IJSST). He serves as an Associate Editor for IEEE Access (2019 Impact Factor 4.098), the International Journal of Digital Crime and Forensics (IJDCF) and the International Journal of Information Security and Privacy (IJISP). He was also a Guest Editor of a special issue on Recent Advances on Cyber Security and Privacy for Cloud-of-Things of the International Journal of Digital Crime and Forensics (IJDCF), Volume 10, Issue 3, July-September 2019. He has served and continues to serve on executive and technical program committees and as a reviewer of numerous international conference and journals such as Elsevier Ad Hoc Networks, IEEE Network Magazine, IEEE Sensor Journal, ICT Express, and Springer Cluster Computing. He was the Publicity chair of BCCA 2019 and the General Chair of the MLBDACP 19 symposium.
Lahby Mohamed (Ed.)
Mohamed Lahby
received the Ph.D. degree in computer science from the Faculty of Sciences and Technology of Mohammedia, University Hassan II of Casablanca, Casablanca, Morocco, in 2013.,He is currently an Associate Professor with Higher Normal School, University Hassan II of Casablanca. His research interests include wireless communication and network, mobility management, and QoS/QoE.