•. The paper illuminates key applications of AI and ML in cybersecurity, while also addressing existing challenges and posing unresolved questions for future researchImproved threat detection and response times. Chapter © The Future of Cybersecurity: Major Role of Artificial Intelligence, Machine Learning, and Deep Learning in Cyberspace. This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for Additionally, AI techniques could change the current asymmetric defender-versus-adversary balance in cybersecurity. Abstract For cybersecurity, research investments must apply AI-systems within critical infrastructure to help resolve persistent cybersecurity challenges. The modern world depends more on technology than ever before Artificial Intelligence (AI) is a “hot” technology that holds great promise in many fields, including cybersecurity. At the forefront of AI's contribution to cybersecurity lies its unparalleled capacity for threat detection and rapid response. Future research directions are discussed. The Networking and Information Technology Research and Development (NITRD) Program’s Artificial Intelligence R&D, and Cyber Security and Information Assurance, About this book. A comprehensive survey of current applications of AI in cybersecurity is conducted. Current techniques include network monitoring for detecting In fact, many security vendor threat research labs—rich in big data and security expertise—have been using it to keep pace with a constantly evolving cyber-threat landscape •. Chapter © Introduction. Detailed statistics and distributions of the surveyed work are provided. The speed and accuracy of these advances will enable Abstract—Cybersecurity vendors consistently apply AI (Ar-tificial Intelligence) to their solutions and many cybersecurity domains can benefit from AI technology. However, This paper provides a comprehensive survey of the state-of-the-art use of Artificial Intelligence (AI) and Machine Learning (ML) in the field of cybersecurity. Unlike rule-based systems that struggle to keep pace with the evolving tactics of cybercriminals, AI employs machine learning algorithms to analyze vast datasets in real-time Artificial Intelligence for Cybersecurity: Threats, Attacks and Mitigation. A taxonomy of AI use cases for cybersecurity provision is proposed. •. •.