Course Curriculum
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Free Preview
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Chapter 1: Introduction to Generative AI and Cybersecurity
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(Included in full purchase)
Introduction to Generative AI and Cybersecurity
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(Included in full purchase)
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Chapter 2: Core Architectures of Generative AI
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(Included in full purchase)
Core Architectures of Generative AI
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(Included in full purchase)
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Chapter 3 :Machine Learning Fundamentals for Security
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(Included in full purchase)
Machine Learning Fundamentals for Security
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(Included in full purchase)
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Chapter 4: Threat Landscape Using AI-Driven Attacks and Defensive Strategies
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(Included in full purchase)
Threat Landscape Using AI-Driven Attacks and Defensive Strategies
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(Included in full purchase)
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Chapter 5: Data Privacy and Ethical Considerations with GenAI
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(Included in full purchase)
Data Privacy and Ethical Considerations with GenAI
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(Included in full purchase)
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Chapter 6: Securing GenAI Deployments in the Cloud
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(Included in full purchase)
Securing GenAI Deployments in the Cloud
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(Included in full purchase)
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Chapter 7: Security Automation Using SIEM, SOAR, and DevSecOps Platforms
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(Included in full purchase)
Security Automation Using SIEM, SOAR, and DevSecOps Platforms
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(Included in full purchase)
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Chapter 8: Vulnerability Management with AI Tools
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(Included in full purchase)
Vulnerability Management with AI Tools
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(Included in full purchase)
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Chapter 9: AI-Powered Incident Response and Digital Forensics
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(Included in full purchase)
AI-Powered Incident Response and Digital Forensics
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(Included in full purchase)
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Chapter 10: Prompt Engineering for AI Security
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(Included in full purchase)
Prompt Engineering for AI Security
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(Included in full purchase)
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Chapter 11: Real-World Case Studies and Security Playbooks
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(Included in full purchase)
Real-World Case Studies and Security Playbooks
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(Included in full purchase)
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Chapter 12: Future Trends in Evolving Careers and Market Demand
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(Included in full purchase)
Future Trends in Evolving Careers and Market Demand
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(Included in full purchase)
About the Course
The Future of Cybersecurity Will Be Driven by AI-Augmented Defense Cyber threats are evolving faster than traditional defenses can respond — and Generative AI is the force multiplier that security teams need to stay ahead. Ultimate Generative AI for Cybersecurity gives you a comprehensive, hands-on guide to applying Generative AI across the full security lifecycle, from intelligent threat detection and automated response to predictive analysis and AI-powered forensics. You begin with the foundations of Generative AI architectures and machine learning for security, then progressively advance through AI-driven threat landscapes, data privacy, cloud security deployment, and security automation using SIEM, SOAR, and DevSecOps platforms. Every concept is grounded in real-world use cases, hands-on examples, and practical implementation patterns drawn from enterprise security environments. The final section covers prompt engineering for security, AI-powered incident response, vulnerability management, and future trends in cybersecurity careers. By the end of the book, you will be able to integrate Generative AI into your security framework with confidence, building systems that detect threats earlier, respond faster, and adapt continuously to an evolving threat landscape.
About the Author
Anik Acharjee is a seasoned software developer with more than 10 years of experience and expertise in MERN Stack and AI integration. With a strong foundation in Computer Science, he builds scalable, AI-powered applications. Through this book, Anik shares practical insights to help developers innovate and excel in modern web development.