Book Image

Operationalizing Threat Intelligence

By : Kyle Wilhoit, Joseph Opacki
Book Image

Operationalizing Threat Intelligence

By: Kyle Wilhoit, Joseph Opacki

Overview of this book

We’re living in an era where cyber threat intelligence is becoming more important. Cyber threat intelligence routinely informs tactical and strategic decision-making throughout organizational operations. However, finding the right resources on the fundamentals of operationalizing a threat intelligence function can be challenging, and that’s where this book helps. In Operationalizing Threat Intelligence, you’ll explore cyber threat intelligence in five fundamental areas: defining threat intelligence, developing threat intelligence, collecting threat intelligence, enrichment and analysis, and finally production of threat intelligence. You’ll start by finding out what threat intelligence is and where it can be applied. Next, you’ll discover techniques for performing cyber threat intelligence collection and analysis using open source tools. The book also examines commonly used frameworks and policies as well as fundamental operational security concepts. Later, you’ll focus on enriching and analyzing threat intelligence through pivoting and threat hunting. Finally, you’ll examine detailed mechanisms for the production of intelligence. By the end of this book, you’ll be equipped with the right tools and understand what it takes to operationalize your own threat intelligence function, from collection to production.
Table of Contents (18 chapters)
1
Section 1: What Is Threat Intelligence?
6
Section 2: How to Collect Threat Intelligence
12
Section 3: What to Do with Threat Intelligence

Graph theory with similarity groups

If today is your first foray into discrete mathematics, no worries! Computer science loves to borrow from other disciplines and we've stolen these concepts from the mathematics department! We're going to explore all these concepts using what we know about cyber threat intelligence to make it easier for you to digest. Now that we know that our graph represents how we investigate a threat and that we have used our hunting and pivoting methods to create a relationship between the indicators in a node-edge graph, we will now introduce you to some concepts about relationships that can be applied to our similarity groupings. However, before we dive in, you're going to find that the graphs that represent your operational investigations are going to be complex – more complex than what will be shown in this chapter. We've decided to keep our data representation simple so that we can introduce you to the concepts we wanted to convey...