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🔐 Master AI for Cybersecurity before your competitors do!
Artificial Intelligence for Cybersecurity is a 2024 paperback release by Packt Publishing that equips professionals with advanced AI methodologies to tackle cybersecurity challenges. Highly rated and ranked among the top books in Computer Hardware, Networking, and Security categories, it offers practical, up-to-date knowledge designed to future-proof your organization's defenses.













| Best Sellers Rank | #48,274 in Books ( See Top 100 in Books ) #40 in Computer Hardware & DIY #83 in Computer Security & Encryption #86 in Networking & Cloud Computing |
| Customer reviews | 4.9 4.9 out of 5 stars (22) |
| Dimensions | 19.05 x 2.08 x 23.5 cm |
| Edition | Standard Edition |
| ISBN-10 | 180512496X |
| ISBN-13 | 978-1805124962 |
| Item weight | 626 g |
| Language | English |
| Print length | 358 pages |
| Publication date | 31 October 2024 |
| Publisher | Packt Publishing Limited |
J**C
You sure can tell that the premise of this book is depth. still reading thou..
P**A
I got this book because I am looking to deepen my understanding of AI’s role in cybersecurity. I find the book especially useful because it gives some great examples how to apply AI techniques to solve real-world cybersecurity problems. I particularly enjoyed the introduction to LLMs and anomaly detection in industrial control systems chapters. It has up-to-date examples and plenty of hands-on code throughout the chapters that allow you to try out techniques as you go. Highly recommend for academic students and IT professionals!
E**N
This book makes the world of cybersecurity feel both exciting and manageable. Right from the start it uses real examples, like spotting unusual network activity or catching malware before it spreads, to show why AI tools matter now more than ever. The writing is friendly and clear so even if you are new to machine learning or threat detection you are never left wondering what comes next. It feels like a conversation with a trusted colleague rather than a dry lecture. As you read on you learn by doing. The practical exercises guide you through setting up your own lab, running simple anomaly detection scripts, and crafting basic threat intelligence workflows. Rather than overwhelming you with jargon, the book breaks each concept into manageable steps and shows how it all fits into a real security team’s daily work. You will find yourself experimenting with classification models and fine-tuning them to spot suspicious behavior in logs while gaining confidence in your ability to make AI work for you. The most impressive part is how the book balances big ideas with down-to-earth advice. You still get up-to-date coverage of large language models and adversarial learning, but the discussion also covers ethical concerns like bias and model transparency. There is a strong focus on staying adaptable as attackers change their tactics and on making sure your AI pipelines include feedback loops that keep them sharp over time. By the end you feel ready to bring AI into your own cyber defense strategy, certain that you understand both the potential and the challenges. This is a five-star resource for anyone looking to blend artificial intelligence and security in a thoughtful and practical way.
S**O
This book has clearly and explicitly explain the role automation plays in contemporary cybersecurity practices particularly in an industrial setup.
Trustpilot
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