ISBN: 9788169646000 - ultimate generative ai for cybersecurity: master ai-driven threat detection, incident response, siem, soar, devsecops, and security automation for modern cyber defense (english edition) (4 resultados)

Condición: New.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fight Smarter Threats with Smarter Intelligence.Book DescriptionThe Future of Cybersecurity Will Be Driven by AI-Augmented DefenseCyber 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.What you will learn¿ Apply Generative AI to transform threat detection and cybersecurity operations at scale.¿ Design and implement AI-driven systems for proactive, automated threat detection and response.¿ Automate security workflows using Generative AI models, SIEM, SOAR, and DevSecOps platforms.¿ Analyze and predict emerging cyber threats using real-world AI-powered security intelligence.¿ Integrate Generative AI tools into the existing enterprise security frameworks and cloud environments.¿ Build responsible AI security systems with data privacy, ethics, and governance embedded throughout.Table of Contents1. Introduction to Generative AI and Cybersecurity2. Core Architectures of Generative AI3. Machine Learning Fundamentals for Security4. Threat Landscape Using AI-Driven Attacks and Defensive Strategies5. Data Privacy and Ethical Considerations with GenAI6. Securing GenAI Deployments in the Cloud7. Security Automation Using SIEM, SOAR, and DevSecOps Platforms8. Vulnerability Management with AI Tools9. AI-Powered Incident Response and Digital Forensics10. Prompt Engineering for AI Security11. Real-World Case Studies and Security Playbooks12. Future Trends in Evolving Careers and Market Demand Index.…