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Building AI-Powered Cyber Defense: Designing Autonomous Security Systems That Learn And Adapt
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Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub est :
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- FormatePub
- ISBN8233564611
- EAN9798233564611
- Date de parution16/02/2026
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurLinda Balsamo
Résumé
Cybersecurity is tired. Hackers aren't. Firewalls are blinking, alerts are screaming, and your security team is drowning in dashboards while attackers quietly evolve. If that sounds familiar, this book is for you. Building AI-Powered Cyber Defense is a practical, no-fluff guide to designing autonomous security systems that don't just detect threats-but learn, adapt, and fight back. Written for security architects, engineers, CISOs, and technically curious defenders, this book bridges the gap between artificial intelligence theory and real-world cyber defense. You won't find hype or magic buttons here.
Instead, you'll learn how modern AI-driven security actually works-from machine learning-based threat detection and behavioral analysis to autonomous response systems that make decisions faster than humans ever could (without panicking at 3 a.m.). Across 13 structured chapters, the book walks you through: Why traditional, rule-based security keeps failing How modern attackers behave like adaptive systems Designing autonomous security architectures that scale Collecting and preparing the right data for AI models Using supervised, unsupervised, and behavioral learning for threat detection Teaching systems to continuously learn as threats evolve Automating responses without creating self-inflicted disasters Defending against adversarial AI attacks (because attackers read books too) Knowing when humans should step in-and when they shouldn't Deploying AI-powered defense systems in messy, real-world environments The tone is intentionally human.
Complex ideas are explained clearly, with humor, motivation, and a healthy respect for how chaotic real security operations can be. This is not a math textbook, and it's not vendor marketing. It's a builder's guide for people who want security systems that actually keep up. If you're tired of chasing alerts, overwhelmed by AI buzzwords, or curious how autonomous cyber defense will shape the future, this book will give you both the mindset and the blueprint to get there. Cyber threats evolve.
Your defenses should too.
Instead, you'll learn how modern AI-driven security actually works-from machine learning-based threat detection and behavioral analysis to autonomous response systems that make decisions faster than humans ever could (without panicking at 3 a.m.). Across 13 structured chapters, the book walks you through: Why traditional, rule-based security keeps failing How modern attackers behave like adaptive systems Designing autonomous security architectures that scale Collecting and preparing the right data for AI models Using supervised, unsupervised, and behavioral learning for threat detection Teaching systems to continuously learn as threats evolve Automating responses without creating self-inflicted disasters Defending against adversarial AI attacks (because attackers read books too) Knowing when humans should step in-and when they shouldn't Deploying AI-powered defense systems in messy, real-world environments The tone is intentionally human.
Complex ideas are explained clearly, with humor, motivation, and a healthy respect for how chaotic real security operations can be. This is not a math textbook, and it's not vendor marketing. It's a builder's guide for people who want security systems that actually keep up. If you're tired of chasing alerts, overwhelmed by AI buzzwords, or curious how autonomous cyber defense will shape the future, this book will give you both the mindset and the blueprint to get there. Cyber threats evolve.
Your defenses should too.