Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Automating Security Detection Engineering

You're reading from   Automating Security Detection Engineering A hands-on guide to implementing Detection as Code

Arrow left icon
Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781837636419
Length 252 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Dennis Chow Dennis Chow
Author Profile Icon Dennis Chow
Dennis Chow
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Automating Detection Inputs and Deployments
2. Chapter 1: Detection as Code Architecture and Lifecycle FREE CHAPTER 3. Chapter 2: Scoping and Automating Threat-Informed Defense Inputs 4. Chapter 3: Developing Core CI/CD Pipeline Functions 5. Chapter 4: Leveraging AI for Use Case Development 6. Part 2: Automating Validations within CI/CD Pipelines
7. Chapter 5: Implementing Logical Unit Tests 8. Chapter 6: Creating Integration Tests 9. Chapter 7: Leveraging AI for Testing 10. Part 3: Monitoring Program Effectiveness
11. Chapter 8: Monitoring Detection Health 12. Chapter 9: Measuring Program Efficiency 13. Chapter 10: Operating Patterns by Maturity 14. Index 15. Other Books You May Enjoy

Locating data for metrics

Once we’ve selected an appropriate mix of KPIs for our team, we need to source the data or instrument our solutions to poll the data at a regular interval for reporting. The best part of instituting a detection-as-code program is that we have set up the infrastructure to produce insights and data points for many of our common strategic and operational needs. Where we source the data can generally be narrowed down to a few locations for efficient polling:

  • SIEM: This aggregates logging to measure downstream detection runtimes and sometimes case management dispositions.
  • Code repositories: Providing you have metadata in each use case, counts can be tallied using scripts.
  • Workflow management: Ticketing solutions, such as Jira, support labels for measuring work overtime and the type of work. In some SOC workflows, Jira is used for case management, too.

The following is a table that provides ways of sourcing each suggested KPI operationally...

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 €18.99/month. Cancel anytime