Artificial Intelligence for Cybersecurity
Artificial Intelligence for Cybersecurity is a practical book about applying AI methods to cybersecurity work. Its scope includes detection and analysis tasks, design and evaluation of AI solutions, step-by-step exercises, and code examples. The listing says readers need fundamental machine-learning concepts and beginner-level Python knowledge.
At a glance
- Covers AI and machine-learning applications across cybersecurity topics including malware, network intrusion, phishing, authentication, threat intelligence and industrial control systems.
- Describes a workflow spanning data, AI methods, tools, solution design, testing, evaluation, monitoring and feedback.
- Includes exercises and code examples, according to the listing.
- The listed audience includes machine-learning practitioners and cybersecurity workers, with fundamental machine-learning knowledge and beginner-level Python required.
Reference price: $44.99
Price checked: Nov 14, 2026
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Pros and cons
Pros
- Connects machine-learning methods to a wide range of practical cybersecurity scenarios rather than focusing on only one detection task.
- The described exercises and code examples can help readers move from concepts toward implementation.
- Includes material on data quality, bias, evaluation and common implementation pitfalls, useful considerations when designing applied AI projects.
Technical specifications
8 specifications| Publisher | Packt Publishing |
|---|---|
| Publication date | October 31, 2024 |
| Language | English |
| Print length | 358 pages |
| ISBN-10 | 180512496X |
| ISBN-13 | 978-1805124962 |
| Weight listed | 1.38 pounds |
|---|---|
| Dimensions | 7.5 x 0.82 x 9.25 inches |
What to know before buying
- The free PDF requires proof of purchase and email sign-up. The listing also advertises access to Packt's next-gen Reader, subject to the stated sign-up condition.
Who is it for?
A good fit for
- Machine-learning practitioners seeking to apply their skills to cybersecurity problems.
- Cybersecurity professionals with beginner-level Python knowledge and fundamental machine-learning concepts who want to explore AI-based solutions.
- Students or professionals interested in practical examples across detection, analysis and security workflows.
Less suited to
- Readers seeking a machine-learning introduction from scratch, as the listing says fundamental machine-learning concepts are needed.
- Readers without beginner-level Python knowledge, which the listing identifies as a prerequisite.
- Buyers seeking a narrowly focused manual for only one cybersecurity specialty, as the listed chapters span multiple areas.
Customer reviews on Amazon
- 5 stars
77% 77% - 4 stars
8% 8% - 3 stars
8% 8% - 2 stars
7% 7% - 1 star
0% 0%
Aggregate ratings lean positive, with most ratings in the five-star category, but the distribution also includes lower ratings. Ratings alone do not explain what readers liked or disliked, so they cannot establish how useful the exercises or coverage are for a particular reader.
Frequently asked questions
What background does the book expect?
The listing says readers should know fundamental machine-learning concepts and beginner-level Python.
What cybersecurity topics are covered?
The listed contents include malware and intrusion analysis, behavior analysis, fraud and phishing detection, authentication, threat intelligence, industrial control system anomaly detection, and large language models.
Does the purchase include a PDF?
The listing says a print or Kindle purchase includes a free PDF eBook. It also states that proof of purchase and email sign-up are required.
Is this mainly a conceptual overview or a practical book?
The listing describes explanations of AI methods alongside tools, exercises and code examples for designing and implementing cybersecurity solutions.
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