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Hands-On Artificial Intelligence for Cybersecurity

You're reading from Hands-On Artificial Intelligence for Cybersecurity Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies

Product type Paperback

Published in Aug 2019

Publisher Packt

ISBN-13 9781789804027

Length 342 pages

Edition 1st Edition

Languages

Python

Concepts

Artificial Intelligence

Author (1):

Alessandro Parisi

View More author details

Table of Contents (16) Chapters

Preface

1. Section 1: AI Core Concepts and Tools of the Trade

2. Introduction to AI for Cybersecurity Professionals FREE CHAPTER

3. Setting Up Your AI for Cybersecurity Arsenal

4. Section 2: Detecting Cybersecurity Threats with AI

5. Ham or Spam? Detecting Email Cybersecurity Threats with AI

6. Malware Threat Detection

7. Network Anomaly Detection with AI

8. Section 3: Protecting Sensitive Information and Assets

9. Securing User Authentication

10. Fraud Prevention with Cloud AI Solutions

11. GANs - Attacks and Defenses

12. Section 4: Evaluating and Testing Your AI Arsenal

13. Evaluating Algorithms

14. Assessing your AI Arsenal

15. Other Books You May Enjoy

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Ensuring security and reliability

Managing the security and reliability of our solutions is a critical aspect, which can determine its success or failure, regardless of the quality of the models implemented.

Therefore, ensuring security and reliability of AI-empowered solutions translates into the following:

Ensuring performance and scalability
Ensuring resilience and availability
Ensuring confidentiality and privacy

We begin by analyzing how the performance and scalability requisites affect algorithms' reliability.

Ensuring performance and scalability

Without a doubt, the performances of AI-based cybersecurity solutions are crucial to guarantee their success, especially if the objective to be achieved is to detect...

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Authors (1)

Parisi

Parisi

Alessandro Parisi has been an IT professional for over 20 years, acquiring significant experience as a Security Data Scientist, and as an Artificial Intelligence Cybersecurity and Blockchain specialist. He has experience of operating within organizational and decisional contexts characterized by high complexity. Over the years, he has helped companies to adopt Artificial Intelligence and Blockchain DLT technologies as strategic tools in protecting sensitive corporate assets. He holds a Master Degree in Economics and Statistics.

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