Book Image

Hands-On Artificial Intelligence for Cybersecurity

By : Alessandro Parisi
Book Image

Hands-On Artificial Intelligence for Cybersecurity

By: Alessandro 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)
Free Chapter
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

Fraud Prevention with Cloud AI Solutions

The objective of many security attacks and data breaches that corporations suffer from is the violation of sensitive information, such as customers' credit card details. Such attacks are often conducted in stealth mode, and so it is difficult to detect such threats using traditional methods. In addition, the amount of data to be monitored often assumes dimensions that cannot be effectively analyzed with just traditional extract, transform, and load (ETL) procedures that are executed on relational databases, which is why it is important to adopt artificial intelligence (AI) solutions that are scalable. By doing this, companies can take advantage of cloud architectures in order to manage big data and leverage predictive analytics methodology.

Credit card fraud represents an important test for the application of AI solutions in the field...