Overview

As generative artificial intelligence (AI) evolves, it introduces new opportunities across industries, from content creation to problem-solving. However, with these advancements come significant cybersecurity risks that demand closer scrutiny. Generative AI, capable of producing text, images, code, and deepfakes, presents challenges in cybersecurity. Malicious scammers could leverage these technologies to automate cyberattacks, create sophisticated phishing schemes, or bypass traditional security systems with efficiency. This intersection of cutting-edge AI and cybersecurity concerns requires new organizational safeguards for digital environments, highlighting the need for new protocols, regulations, and proactive defense mechanisms to mitigate potential threats. Examining Cybersecurity Risks Produced by Generative AI addresses the intersections of generative AI with cybersecurity, presenting its applications, potential risks, and security frameworks designed to harness its benefits while mitigating challenges. It provides a comprehensive, up-to-date resource on integrating generative models into cybersecurity practice and research. This book covers topics such as deepfakes, smart cities, and phishing attacks, and is a useful resource for computer engineers, security professionals, business owners, policymakers, academicians, researchers, and data scientists.

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Ammar Almomani is a distinguished academic, researcher, and consultant with over two decades of combined experience in cybersecurity, artificial intelligence, and computer science. He holds a Ph.D. in Advanced Internet Security and Monitoring from Universiti Sains Malaysia (USM) and has taught more than 45 specialized courses in his field. As an Academic Staff Member in the School of IT at Al-Balqa Applied University (Jordan) and in the Bachelor of Cybersecurity Program at the Higher Colleges of Technology (HCT) in Sharjah (UAE), Prof. Almomani also consults on various AI and cybersecurity initiatives. He has secured multiple patents (eight in Germany and two in India) and has been recognized internationally for his research, with over 165 published articles—110 of which are indexed in Scopus. His work has earned him a UAE Golden Visa, and he has been named among the Top 2% of Global Influential Researchers by Stanford University and Scopus (2023–2024). Prof. Almomani’s leadership roles include serving as Head of the Research and Innovation Department and IT Department, contributing to curriculum development, program accreditation (including ABET and AACSB), and the establishment of specializations in both Jordan and the UAE. He actively supervises undergraduate and postgraduate research (MSc/Ph.D.) across multiple countries and has chaired numerous international conferences. With a strong publication record, extensive industry collaborations, and over 113,000 readers on ResearchGate, Prof. Almomani remains a driving force in advancing cybersecurity and AI. His editorial work is guided by a commitment to fostering robust academic discourse and pioneering technological innovation. Mohammad Alauthman (mohammad.alauthman@uop.edu.jo) is an Associate Professor in the Information Security Department at the Faculty of Information Technology, University of Petra, Amman, Jordan. His research interests include network security, intrusion detection systems, and applying AI techniques—such as machine learning and deep learning—for botnet and DDoS detection, spam filtering, IoT security, and network traffic classification. He earned his Ph.D. in Computer Science from Northumbria University, UK, in 2016. Dr. Alauthman has received multiple research grants supporting advanced AI-driven intrusion detection systems and international collaboration. He is also actively involved in Erasmus+ projects, including BITTCOIN-JO (technology transfer), RL4Eng (remote engineering labs), Pro-GREEN LABs (green competences in education), and COMMO (mobility and cooperation across Mediterranean and Balkan institutions), contributing to innovation, sustainability, and cross-border academic development.

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