In this book understanding "AI/ML in Cybersecurity" which is a comprehensive go to guide to the application of Artificial Intelligence (AI) and Machine Learning (ML) technologies in the field of cybersecurity, Malini Rao has written in detail about various aspects of cybersecurity, including threat intelligence, threat detection, incident response, and advanced security measures wherein AI/ML is leveraged upon to combat complex cyber attacks . It provides readers with a deep understanding of how AI/ML technologies can be used to enhance the security posture of organizations and mitigate the risks of cyber attacks.

The book begins with an introduction to AI/ML technologies and their application in cybersecurity. It explains the difference between AI and ML and provides a detailed overview of how these technologies work. The book then further explore the challenges facing the cybersecurity industry, including the increasing sophistication of cyber attacks due to usage of AI & ML based tactics & techniques and the shortage of skilled cybersecurity professionals with expertise to combat advanced and complex cyber attacks

The next section of the book which focuses on automating threat detection and response. It discusses how AI/ML technologies can be used to analyze large amounts of data in real-time to identify and respond to threats. The book covers topics such as anomaly detection, user behavior analysis, and machine learning algorithms that can improve the accuracy of threat detection. This book also covers topics such as network segmentation, secure coding practices, and security testing using AI/ML technology.

One of the major benefits of AI and ML in cybersecurity is automation. With the sheer volume of data that organizations need to process in order to identify and respond to cyber threats, automation is essential to ensure timely prevention, detection and response. AI and ML can automate routine tasks such as monitoring network traffic, analyzing large volumes of data, and generating alerts when a potential threat is detected. This reduces the workload on cybersecurity teams and free them up to focus on complex tasks that require human expertise.

The next section of the book focuses on the " practical application of AI/ML in cybersecurity". It provides readers with a step-by-step guide to implementing AI/ML technologies in their cybersecurity operations. The book covers topics such as data collection and analysis, algorithm selection, and model training. It also provides case studies and examples of organizations that have successfully implemented AI/ML technologies in their cybersecurity operations

The final section talks about standards and regulatory laws/ requirements around secure usage of Artificial Intelligence & Machine learning, cybersecurity & privacy risks, compliance requirements such as GDPR. Also I talk about NIST AI framework, Generative AI and Large language model security

"AI/ML in Cybersecurity" is a valuable go to book for anyone interested in learning about the application of AI/ML technologies in cybersecurity. The book is written in a clear, concise & easy to understand manner, making it accessible to both technical and non-technical readers. It provides readers with a deep understanding of how AI/ML can be used to enhance the security posture of organizations and mitigate the risks of cyber attacks.