As a result of recent technological developments, artificial intelligence and machine learning methodologies have advanced. Deep learning techniques, in particular, have outperformed "traditional" machine learning methods in highly cognitive tasks like image recognition, audio classification, speech translation, natural language processing, machine translation, computer games, robots, and self-driving cars, resulting in the development of new industry standards. As a result, the subject of how artificial intelligence or machine learning-based technologies might be used to fulfill cyber security goals is crucial to address. The goal of this book is to close the gap between artificial intelligence and cyber security. The book covers a wide range of modern and practical artificial intelligence techniques, frameworks, and development tools. It also provides a comprehensive review of techniques and applications of Industry 5.0 enabled Intelligent Healthcare Centric Cyber Security.