You're reading from Mastering Cyber Intelligence Gain comprehensive knowledge and skills to conduct threat intelligence for effective system defense

Product type Paperback

Published in Apr 2022

Publisher Packt

ISBN-13 9781800209404

Length 528 pages

Edition 1st Edition

Concepts

Cybersecurity

Author (1):

Jean Nestor M. Dahj

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Table of Contents (20) Chapters

Preface

1. Section 1: Cyber Threat Intelligence Life Cycle, Requirements, and Tradecraft

2. Chapter 1: Cyber Threat Intelligence Life Cycle FREE CHAPTER

3. Chapter 2: Requirements and Intelligence Team Implementation

4. Chapter 3: Cyber Threat Intelligence Frameworks

5. Chapter 4: Cyber Threat Intelligence Tradecraft and Standards

6. Chapter 5: Goal Setting, Procedures for CTI Strategy, and Practical Use Cases

7. Section 2: Cyber Threat Analytical Modeling and Defensive Mechanisms

8. Chapter 6: Cyber Threat Modeling and Adversary Analysis

9. Chapter 7: Threat Intelligence Data Sources

10. Chapter 8: Effective Defense Tactics and Data Protection

11. Chapter 9: AI Applications in Cyber Threat Analytics

12. Chapter 10: Threat Modeling and Analysis – Practical Use Cases

13. Section 3: Integrating Cyber Threat Intelligence Strategy to Business processes

14. Chapter 11: Usable Security: Threat Intelligence as Part of the Process

15. Chapter 12: SIEM Solutions and Intelligence-Driven SOCs

16. Chapter 13: Threat Intelligence Metrics, Indicators of Compromise, and the Pyramid of Pain

17. Chapter 14: Threat Intelligence Reporting and Dissemination

18. Chapter 15: Threat Intelligence Sharing and Cyber Activity Attribution – Practical Use Cases

19. Other Books You May Enjoy

Chapter 9: AI Applications in Cyber Threat Analytics

After years of promise and failed realization, artificial intelligence (AI) – through both machine learning (ML) and deep learning (DL) – has finally become the catalyst for a new generation of analytic systems and applications that are transforming industries across the globe. Cybersecurity in general and threat intelligence specifically are no exceptions, as they are also benefiting from AI applications. With vast amounts of data being collected from many different sources, it has become challenging for humans to gain valuable insights with traditional methods. AI helps uncover hidden data patterns that can support security decisions. We can leverage AI algorithms to optimize and automate tasks such as asset protection, unknown threat classifications, and security incident response (IR). Security and threat intelligence vendors are already integrating AI in their solution stacks. However, while AI can help with cyber...