As cyber threats continue to grow in frequency and scale, traditional security measures often fall short to modern information systems. In response to this threat, AI has emerged as a powerful tool in the ongoing battel against cyber-attacks. By using machine learning and predictive analytics, AI can identify and respond to the real time threats before significant damage. These technologies enable systems to learn from past attacks and evolve to threats. These technologies are essential components of a resilient cybersecurity strategy. AI Solutions for Detecting Cyber-Attacks in Information Systems explores all essential aspects of AI solutions for cybersecurity attacks in information systems. It shares the latest research results and real-world deployment of AI as security measures within information systems. Covering topics such as AI, cyber-attacks, and information systems, this book is an excellent resource for academia, researchers, university staff, postgraduate students, policy makers, developers, cybersecurity providers, and cybersecurity analysists.