Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Operationalizing Threat Intelligence

You're reading from   Operationalizing Threat Intelligence A guide to developing and operationalizing cyber threat intelligence programs

Arrow left icon
Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781801814683
Length 460 pages
Edition 1st Edition
Arrow right icon
Authors (2):
Arrow left icon
Joseph Opacki Joseph Opacki
Author Profile Icon Joseph Opacki
Joseph Opacki
Kyle Wilhoit Kyle Wilhoit
Author Profile Icon Kyle Wilhoit
Kyle Wilhoit
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: What Is Threat Intelligence?
2. Chapter 1: Why You Need a Threat Intelligence Program FREE CHAPTER 3. Chapter 2: Threat Actors, Campaigns, and Tooling 4. Chapter 3: Guidelines and Policies 5. Chapter 4: Threat Intelligence Frameworks, Standards, Models, and Platforms 6. Section 2: How to Collect Threat Intelligence
7. Chapter 5: Operational Security (OPSEC) 8. Chapter 6: Technical Threat Intelligence – Collection 9. Chapter 7: Technical Threat Analysis – Enrichment 10. Chapter 8: Technical Threat Analysis – Threat Hunting and Pivoting 11. Chapter 9: Technical Threat Analysis – Similarity Analysis 12. Section 3: What to Do with Threat Intelligence
13. Chapter 10: Preparation and Dissemination 14. Chapter 11: Fusion into Other Enterprise Operations 15. Chapter 12: Overview of Datasets and Their Practical Application 16. Chapter 13: Conclusion 17. Other Books You May Enjoy

Data interpretation and alignment

The preparation phase of the intelligence life cycle begins with reviewing the data that has been produced by aligning it back to the initial intelligence requirement that was created to address a critical gap in your organization. Often, this process is referred to as data interpretation and alignment; it is at this point where the data that we have is reviewed to ensure that it is appropriately aligned to the original knowledge gap. If we begin with the initial question that sparked the collection operation followed by technical analysis, we can review the produced empirical data to see whether we can make a conclusion about the collected data, which can assist us in the formation of a hypothesis.

If you refer back to Chapter 3, Guidelines and Policies, we first introduced you to the concept of creating intelligence requirements to address the knowledge gaps that your organization might have. We even provided some examples so that you gained a...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image