Modern enterprises are facing growing cybersecurity issues due to the massive volume of security-related data they generate over time. AI systems can be developed to resolve a range of these issues with comparative ease. This new book describes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help eliminate them. With chapters from industry and security experts, this volume discribes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help elimintate them. With chapters from industry and security experts, this volume discusses the many new and emerging AI technologies and approaches that can be harnessed to combat cyberattacks, including Big Data analytics techniques, deep neural networks, cloud computer networks, convolutional neural networks, IoT edge devices, Machine Learning approaches, Deep Learning, blockchain technology, convolutional neural networks, and more. Machine and Deep Learning (ML DL) models are being established and deployed to receive and analyze all kinds of log and security-related event data instantaneously to supply actionable insights and to activate the appropriate countermeasures in time. Therefore, any cybersecurity attack can be nipped in the budding stage. This book, Leveraging the Artificial Intelligence Competencies for Next-Generation Cybersecurity Solutions, illustrates how AI is a futuristic and flexible technology that can be effectively used for tackling the growing menace of cybercriminals. It clearly demystifies the unique contributions of AI algorithms, models, frameworks, and libraries in nullifying the cyberattacks. The volume will be a valuable resource for research students, scholars, academic professors, business executives, security architects, and consultants in the IT industry.