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Hands-On Artificial Intelligence for Cybersecurity

Hands-On Artificial Intelligence for Cybersecurity

By : Parisi
4.4 (5)
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Hands-On Artificial Intelligence for Cybersecurity

Hands-On Artificial Intelligence for Cybersecurity

4.4 (5)
By: Parisi

Overview of this book

Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions. This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication. By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI.
Table of Contents (16 chapters)
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1
Section 1: AI Core Concepts and Tools of the Trade
4
Section 2: Detecting Cybersecurity Threats with AI
8
Section 3: Protecting Sensitive Information and Assets
12
Section 4: Evaluating and Testing Your AI Arsenal

Introduction to AI for Cybersecurity Professionals

In this chapter, we'll distinguish between the various branches of Artificial Intelligence (AI), focusing on the pros and cons of the different approaches of automated learning in the field of cybersecurity.

We will introduce different strategies for learning and optimizing of the various algorithms, and we'll also look at the main concepts of AI in action using Jupyter Notebooks and the scikit-learn Python library.

This chapter will cover the following topics:

  • Applying AI in cybersecurity
  • The evolution from expert systems to data mining and AI
  • The different forms of automated learning
  • The characteristics of algorithm training and optimization
  • Beginning with AI via Jupyter Notebooks
  • Introducing AI in the context of cybersecurity

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