Introduction to AI-Driven Cybersecurity and Threat Intelligence

With the convergence of artificial intelligence (AI) and cybersecurity, a new paradigm has emerged in how we defend against evolving digital threats. This book explores the dynamic landscape of AI-driven cybersecurity and threat intelligence, emphasizing how the computing and analytical power and decision-making capabilities of AI technologies are revolutionizing the detection, prevention, and response to cyberattacks. AI and machine learning algorithms can analyze vast datasets quickly, identify patterns, and predict potential threats, enabling organizations to strengthen their digital infrastructure proactively. In this book, we have bestowed a comprehensive study on this topic that explores not only the potentiality of cyber threat intelligence but also how different AI methods such as machine learning modeling, deep learning modeling, data science process, generative AI modeling, natural language processing with large language modeling, etc. can be employed to provide intelligent cybersecurity services. We have also discussed various essential real-world application areas such as Internet of Things and smart cities, industrial control systems and operational technology environments, critical infrastructures, cyber-physical systems, digital twins, and relevant others where AI-driven cybersecurity and threat intelligence could be useful for effective and automated solutions. Throughout this book, we have also highlighted relevant research issues and challenges as well as their potential solution directions within the context of AI-based cybersecurity and threat intelligence.