---
product_id: 677866036
title: "Artificial Intelligence for Cybersecurity: Develop AI approaches to solve cybersecurity problems in your organization"
price: "€ 61.02"
currency: EUR
in_stock: true
reviews_count: 9
url: https://www.desertcart.at/products/677866036-artificial-intelligence-for-cybersecurity-develop-ai-approaches-to-solve-cybersecurity
store_origin: AT
region: Austria
---

# Artificial Intelligence for Cybersecurity: Develop AI approaches to solve cybersecurity problems in your organization

**Price:** € 61.02
**Availability:** ✅ In Stock

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- **What is this?** Artificial Intelligence for Cybersecurity: Develop AI approaches to solve cybersecurity problems in your organization
- **How much does it cost?** € 61.02 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.at](https://www.desertcart.at/products/677866036-artificial-intelligence-for-cybersecurity-develop-ai-approaches-to-solve-cybersecurity)

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## Description

Gain well-rounded knowledge of AI methods in cybersecurity and obtain hands-on experience in implementing them to bring value to your organization Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Familiarize yourself with AI methods and approaches and see how they fit into cybersecurity Learn how to design solutions in cybersecurity that include AI as a key feature Acquire practical AI skills using step-by-step exercises and code examples Purchase of the print or Kindle book includes a free PDF eBook Book Description Artificial intelligence offers data analytics methods that enable us to efficiently recognize patterns in large-scale data. These methods can be applied to various cybersecurity problems, from authentication and the detection of various types of cyberattacks in computer networks to the analysis of malicious executables. Written by a machine learning expert, this book introduces you to the data analytics environment in cybersecurity and shows you where AI methods will fit in your cybersecurity projects. The chapters share an in-depth explanation of the AI methods along with tools that can be used to apply these methods, as well as design and implement AI solutions. You’ll also examine various cybersecurity scenarios where AI methods are applicable, including exercises and code examples that’ll help you effectively apply AI to work on cybersecurity challenges. The book also discusses common pitfalls from real-world applications of AI in cybersecurity issues and teaches you how to tackle them. By the end of this book, you’ll be able to not only recognize where AI methods can be applied, but also design and execute efficient solutions using AI methods. *Email sign-up and proof of purchase required What you will learn Recognize AI as a powerful tool for intelligence analysis of cybersecurity data Explore all the components and workflow of an AI solution Find out how to design an AI-based solution for cybersecurity Discover how to test various AI-based cybersecurity solutions Evaluate your AI solution and describe its advantages to your organization Avoid common pitfalls and difficulties when implementing AI solutions Who this book is for This book is for machine learning practitioners looking to apply their skills to overcome cybersecurity challenges. Cybersecurity workers who want to leverage machine learning methods will also find this book helpful. Fundamental concepts of machine learning and beginner-level knowledge of Python programming are needed to understand the concepts present in this book. Whether you’re a student or an experienced professional, this book offers a unique and valuable learning experience that will enable you to protect your network and data against the ever-evolving threat landscape. Table of Contents Big Data in Cybersecurity Automation in Cybersecurity Cybersecurity Data Analytics AI, Machine Learning, and Statistics - A Taxonomy AI Problems and Methods Workflow, Tools, and Libraries in AI Projects Malware and Network Intrusion Detection and Analysis User and Entity Behavior Analysis Fraud, Spam, and Phishing Detection User Authentication and Access Control Threat Intelligence Anomaly Detection in Industrial Control Systems Large Language Models and Cybersecurity Data Quality and Its Usage in the AI and LLM Era Correlation, Causation, Bias, and Variance Evaluation, Monitoring, and Feedback Loop (N.B. Please use the Read Sample option to see further chapters)

Review: AI-Powered Security Made Simple - 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: the book is real - You sure can tell that the premise of this book is depth. still reading thou..

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #73,934 in Books ( See Top 100 in Books ) #21 in Privacy & Online Safety #49 in Internet & Telecommunications #169 in Artificial Intelligence & Semantics |
| Customer Reviews | 4.6 out of 5 stars 38 Reviews |

## Images

![Artificial Intelligence for Cybersecurity: Develop AI approaches to solve cybersecurity problems in your organization - Image 1](https://m.media-amazon.com/images/I/611JbdGGQJL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ AI-Powered Security Made Simple
*by E***N on June 2, 2025*

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.

### ⭐⭐⭐⭐⭐ the book is real
*by J***C on March 7, 2026*

You sure can tell that the premise of this book is depth. still reading thou..

### ⭐⭐⭐⭐⭐ Automation in Cybersecurity
*by S***O on May 5, 2025*

This book has clearly and explicitly explain the role automation plays in contemporary cybersecurity practices particularly in an industrial setup.

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*Product available on Desertcart Austria*
*Store origin: AT*
*Last updated: 2026-06-03*