* Section - ONE: The Rise of AI ** Chapter - 01: Introduction to artificial intelligence in cyber security; ** Chapter - 02: Fundamentals of machine learning and deep learning for cyber security ** Chapter - 03: AI applications in intrusion detection systems ** Chapter - 04: Behavioural analysis and anomaly detection techniques ** Chapter - 05: Natural language processing for threat intelligence ** Chapter - 06: AI-Driven malware detection and classification ** Chapter - 07: Predictive analytics and risk assessment in cyber security ** Chapter - 08: Autonomous response systems and adaptive security ** Chapter - 09: AI-powered security operations centres (SOCs) ** Chapter - 10: Ethical and regulatory considerations in AI cyber security applications ** Chapter - 11: Future trends and emerging technologies in AI cyber security * Section - TWO: Leveraging AI in cyber security ** Chapter - 01: Understanding the cyber threat landscape - challenges and risks ** Chapter - 02: Leveraging artificial intelligence for proactive threat detection ** Chapter - 03: Implementing AI-driven network security solutions ** Chapter - 04: Enhancing endpoint security with machine learning algorithms ** Chapter - 05: Harnessing AI for identity and access management ** Chapter - 06: Utilizing predictive analytics for vulnerability management ** Chapter - 07: Building resilient security infrastructures with AI ** Chapter - 08: Integrating AI-powered security orchestration and automation ** Chapter - 09: Securing cloud environments with AI-based solutions ** Chapter - 10: Continuous monitoring and response using AI-driven technologies ** Chapter - 11: Training and upskilling the workforce for AI-enabled cyber security ** Chapter - 12: Evaluating ROI and effectiveness of AI-based defence strategies.