

Buy Artificial Intelligence for Cybersecurity: Develop AI approaches to solve cybersecurity problems in your organization by Kolosnjaji, Bojan, Xiao, Huang, Xu, Peng online on desertcart.ae at best prices. ✓ Fast and free shipping ✓ free returns ✓ cash on delivery available on eligible purchase. Review: 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. Review: 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!












| Best Sellers Rank | #270,325 in Books ( See Top 100 in Books ) #370 in Computer Hardware & DIY #594 in Computer Security & Encryption #808 in Networking & Cloud Computing |
| Customer reviews | 4.9 4.9 out of 5 stars (20) |
| 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 |
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.
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!
S**O
This book has clearly and explicitly explain the role automation plays in contemporary cybersecurity practices particularly in an industrial setup.
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