Redefining Security With Cyber AI

In the rapidly evolving digital landscape, the importance of cybersecurity has never been more critical. With the increasing sophistication of cyber threats, traditional security measures often fall short in providing adequate protection. Cyber artificial intelligence (AI) offers advanced capabilities to detect, prevent, and respond to attacks in real time. As cyber threats continue to grow in complexity and frequency, the integration of AI into cybersecurity frameworks is not just advantageous but essential for maintaining robust and resilient defenses. Redefining Security With Cyber AI delves into the profound transformation of security paradigms brought about by the advent of AI. This book explores the intricate dance between the ever-expanding frontiers of digital technology and the AI-driven mechanisms that aim to safeguard them. Covering topics such as artificial neural networks, intrusion detection, and large language models, this book is an excellent resource for cybersecurity professionals, AI and machine learning researchers, IT executives and managers, policy makers and regulators, postgraduate students and educators, academicians, and more.

Marwan Omar is an accomplished cybersecurity expert and academic, specializing in the intersection of artificial intelligence (AI) and cybersecurity. He currently serves as an Associate Professor of Cybersecurity and AI at the Illinois Institute of Technology, where he leads cutting-edge research on AI security, focusing on the detection and mitigation of advanced cyber threats. Dr. Omar holds multiple advanced degrees, including a PhD in Cybersecurity and a PhD in AI, and has earned numerous industry certifications such as Certified Ethical Hacker (CEH) and SANS Certified Smartphone Forensics Analyst (GASF). His extensive publication record includes books, peer-reviewed journal articles, and conference papers that explore the integration of AI in cybersecurity, with a particular focus on large language models (LLMs) and generalized AI (Gen AI). In addition to his academic pursuits, Dr. Omar is actively involved in industry collaborations and has contributed to numerous high-profile projects aimed at securing AI-driven technologies. His expertise has positioned him as a sought-after advisor and thought leader in the cybersecurity community. As a first-generation American from the Yazidi community in Iraq, Dr. Omar is committed to serving as a beacon of hope and inspiration for underrepresented minorities in STEM fields. His dedication to advancing both the scientific and social aspects of cybersecurity makes him a unique and influential figure in the ongoing dialogue about the future of AI security. Hewa Majeed Zangana is an Assistant Professor currently affiliated with Duhok Polytechnic University (DPU) in Iraq. He holds a Doctorate in Philosophy (PhD) degree in ITM, which he is currently pursuing at DPU. He has also held administrative positions such as Curriculum Division Director - Presidency of DPU, Head of the Computer Science Department at Nawroz University, and Acting Dean of the College of Computer and IT at Nawroz University. Hewa Majeed Zangana's research interests span a wide range of topics in computer science, including network systems, information security, mobile communication, data communication, and intelligent systems. He has published extensively in peer-reviewed journals. In addition to his research contributions, Hewa Majeed Zangana has been actively involved in editorial roles. He has also been a member of various scientific committees and administrative bodies at Nawroz University.