AI and ML-Driven Cybersecurity

AI and ML-Driven Cybersecurity: Building Intelligent Defense Systems

Weaponize artificial intelligence to protect your digital perimeter and outpace the next generation of cyber threats. AI and ML-Driven Cybersecurity provides a definitive, defense-oriented roadmap to the intersection of machine learning and information security. Learn how to move beyond static, signature-based detection to high-velocity, predictive defense—bridging the gap between raw data and actionable threat intelligence—ensuring your infrastructure remains resilient in an era of AI-powered attacks.

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What You Will Learn:

Anomaly Detection Frameworks: Master the core supervised and unsupervised learning algorithms used to identify "zero-day" exploits and stealthy lateral movements.

Automated Incident Response: Step-by-step guidance on building self-healing networks that utilize AI to quarantine infected nodes and patch vulnerabilities in real-time.

Adversarial Machine Learning: Discover how to defend your own AI models against "poisoning" and "evasion" attacks designed to bypass intelligent security filters.

Next-Gen SIEM & SOAR Integration: Learn advanced techniques for orchestrating AI-driven security operations that reduce "alert fatigue" and prioritize critical risks.

Who This Book is For: This professional-grade guide is essential for Cybersecurity Analysts, Penetration Testers, and Security Architects. It is an invaluable resource for any technical lead—including those building security-focused graduation projects like Smart Guard—aiming to master the tools that define modern, proactive information security.

Product Details:

Format: Digital PDF Download

Author: Atdhe Buja

Publisher: Taylor & Francis (CRC Press)

ISBN-13: 9781041051411

ISBN-10: 1041051417