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

Summary

Implementing the correct defense mechanism and ensuring data protection from the beginning are the best cybersecurity practices. If your system is not secure from the start, the cyber TI (CTI) program will not be effective. We have seen that there are several challenges to the current threat defense system. Hence, as a security professional or an organization dealing with data, you need to ensure that data security is of the utmost importance. An organization does not need to invest in a lot of tools that run in silos. Instead, it should consider investing in the right skills to use the best exercises in the business DevOps cycle. You should be able to identify security challenges related to your organization and drive the data protection strategy. DevOps and security requirements must lead the defense strategy. In the next chapter, we look at how AI powers TI.