Book Image

Purple Team Strategies

By : David Routin, Simon Thoores, Samuel Rossier
Book Image

Purple Team Strategies

By: David Routin, Simon Thoores, Samuel Rossier

Overview of this book

With small to large companies focusing on hardening their security systems, the term "purple team" has gained a lot of traction over the last couple of years. Purple teams represent a group of individuals responsible for securing an organization’s environment using both red team and blue team testing and integration – if you’re ready to join or advance their ranks, then this book is for you. Purple Team Strategies will get you up and running with the exact strategies and techniques used by purple teamers to implement and then maintain a robust environment. You’ll start with planning and prioritizing adversary emulation, and explore concepts around building a purple team infrastructure as well as simulating and defending against the most trendy ATT&CK tactics. You’ll also dive into performing assessments and continuous testing with breach and attack simulations. Once you’ve covered the fundamentals, you'll also learn tips and tricks to improve the overall maturity of your purple teaming capabilities along with measuring success with KPIs and reporting. With the help of real-world use cases and examples, by the end of this book, you'll be able to integrate the best of both sides: red team tactics and blue team security measures.
Table of Contents (20 chapters)
Part 1: Concept, Model, and Methodology
Part 2: Building a Purple Infrastructure
Part 3: The Most Common Tactics, Techniques, and Procedures (TTPs) and Defenses
Part 4: Assessing and Improving

Chapter 8: Blue Team – Correlate

This chapter is the last one regarding blue team infrastructure. In this chapter, we will discuss security information and event management (SIEM). We will try to understand the philosophy of different SIEM solutions, their pros and cons, and how they can help us in our blue and purple teaming activities.

The second part of this chapter will demonstrate how to leverage Splunk's Search Processing Language (SPL) with specific functions we may not be aware of that help us perform any kind of advanced detections, such as recurring frequency, dynamic comma-separated values (CSV) push/pull, and alerts based on the Least Frequency of Occurrence (LFO). Finally, we will introduce the Kusto Query Language (KQL) used in Microsoft Defender for Endpoint (formerly known as Defender ATP) for hunting, and show practical queries useful for any investigations that could also be implemented to create specific detection rules.

We'll cover the following...