Learning Path

SIEM Architecture and Process

An introduction to SIEM is and how it operates in the NIST cybersecurity framework.


What is SIEM

Course — 01:12:55

K0145, S0038, S0173

In this course we will introduce what SIEM is, the problems it is designed to help address, and various vendors in the SIEM space. We will also begin setting up our SIEM environment.


Course — 01:16:49

In this course we will discuss the high level components that SIEM utilizes to help store, process and provide structure around our data. We will also overview the SIEM UI we previously installed.

Data Collection

Course — 00:54:36

K0131, K0132, K0145, K0448, S0173

In this course we will discuss various methodologies to ingest data into the SIEM. We will also be configuring our systems to ship our first logs into the SIEM.

Data Processing

Course — 00:53:00

K0017, K0038, K0145, S0106, S0173, S0252, S0334

In this course we discuss various data formats and data structures. We review various methods to organize our data and make the data meaningful. We also use sample log data in this section to view how the system structures various data formats.

Data Enrichment

Course — 00:38:23

K0145, S0038, S0123, S0173, S0217

In this course we discuss the purpose behind data enrichment and how we map data from various sources to provide contextual information in the SIEM. We also review a real world example using event data to enrich a malware event.

Data Indexing

Course — 00:16:30

K0145, S0173

In this course we briefly touch on various capabilities to store and manage data. This course is designed to give you ideas behind scalability and resiliency and what these capabilities mean when it comes to managing your data.

Using Data

Course — 01:42:31

K0054, K0145, K0299, K0481, S0027, S0173

In this course we introduce Use Cases which are a framework designed to take a detection based capability from concept to reality. We then proceed to follow the process for an example Use Case Detection.

SIEM Wrap-Up

Course — 00:08:06

K0145, K0254, S0088, S0132, S0133, S0173

In this course we discuss the key concepts and key takeways from each of the courses to help solidify your foundational understanding of SIEM.

SIEM Architecture and Process Skill Assessment

Assessment — 32 questions — 00:16:00

Meet the author

Ryan Fitzpatrick has been working in IT for 14 years. He spent the first four years bouncing between help desk, systems administration and network administration for small businesses where he played around with every piece of technology he could get his hands on before landing on supporting SIEM. He was intrigued by data analytics and the automation potential SIEM brought to organizations.

Armed with natural curiosity, a wide scope of technological understanding and a childhood full of scripting, he found himself in a rewarding career where he could continue to learn, develop and automate. So far he’s helped ingest and analyze data from over 500,000 endpoints worldwide and trained two teams of analysts and engineers to perform security operations.

In his free time, Ryan enjoys video games, practicing jiu-jitsu and teaching himself new skills in IT. His latest interest has been in developing automation servers with Django, and he is successfully managing the health and status of a 60-node SIEM cluster designed to handle data from 60,000 data sources.

The details

Learning path insights

How to claim CPEs

Should you complete this learning path, you’ll be able to download a certificate of completion. Use this to claim your CPEs or CPUs.

Associated NICE Work Roles

All Infosec training maps directly to the NICE Workforce Framework for Cybersecurity to guide you from beginner to expert across 52 Work Roles.

  • Exploitation Analyst
  • Multi-Disciplined Language Analyst
  • Target Network Analyst

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This has been utilized to bridge the skills gap across our cyber team and to aid them as they prepare for their various certifications. It also has provided a nice learning foundation for our various cyber team members to utilize as we continue to find ways for cross-utilization with operations while minimizing the downtime needed to ensure everyone’s knowledge is the same.

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