Artificial Intelligence and Machine Learning in Cybersecurity: A Comprehensive Guide to Improving Cybersecurity Protocol [Hardcover]

This book offers readers an in-depth understanding of how AI and ML are reshaping the cybersecurity landscape. It begins with foundational concepts, explaining AI and ML's principles and their transformative potential within various sectors, particularly cybersecurity.

Chapter 1: Introduction to AI, ML, and Cybersecurity Chapter 2: The Cyber Threat Landscape in the 21st Century Chapter 3: Foundations of Artificial Intelligence and Machine Learning in Cybersecurity Chapter 4: Predictive Analytics and Threat Intelligence with AI and ML Chapter 5: Automating Security Protocols Using AI and ML Chapter 6: AI-Powered Intrusion Detection and Prevention Systems (IDPS) Chapter 7: AI and ML in Endpoint Security and Zero Trust Models Chapter 8: Enhancing Network Security with AI and ML Chapter 9: AI and ML in Combatting Cybercrime and Fraud Chapter 10: AI and ML in Cybersecurity Operations and Security Operations Centers (SOCs) Chapter 11: Ethical Considerations and Risks of AI/ML in Cybersecurity Chapter 12: Conclusion: Leveraging Artificial Intelligence and Machine Learning to Improve Cybersecudity Protocols

Richard Young, PhD, is a seasoned cybersecurity leader and practitioner with over 30 years of experience in the financial services industry. Serving as an adjunct professor and Cybersecurity Program chair, he has made significant contributions to academia, leading the development of innovative curricula that bridge the gap between theoretical knowledge and practical application. His teaching expertise includes cybersecurity, IT risk, and leadership, where he has mentored numerous graduate students and future leaders in navigating complex cybersecurity challenges. Currently, Dr. Young serves as the head of Global Operations Tech Risk & Platforms Engineering at Citibank in New York City where he