Detection Engineering Masterclass: Part 1

🛡️ Detection Engineering Masterclass: Part 1 🚀

Course Overview

Welcome to the Detection Engineering Masterclass: Part 1, where you'll embark on a journey from Zero to Hero in the world of Detection Engineering. This two-part course is meticulously designed to guide you through the entire lifecycle of detection engineering, both theoretically and technically. 🧮

What You'll Learn:

• Theory Behind Security Operations & Detection Engineering 📚
• Setting Up Your Home Lab with VirtualBox & Elastic Security 🛠️
• Running Realistic Attack Scenarios 🎯
• Creating and Documenting Detections ✅
• Writing Validation Scripts in Python 🐍
• Interacting with Elastic via API ⚙️
• Hosting Your Detections on GitHub & Automating with GitHub Actions 🚀
• Scripting for Important Metrics and Visualizations 📊

Part One Breakdown

Part One: The Core of Detection Engineering 🧵

This initial part of the series lays down the foundation with a focus on:

1. Understanding Detection Engineering Theory 📈
2. Setting Up Your Secure and Efficient Lab Environment 🏗️
3. Mastering Logging & Security Information and Event Management (SIEM) Systems 🔍
4. Conducting Attack Scenarios to Simulate Threats 🌪️
5. Using Atomic Red Team for Precision in Testing 🎯

By the End of This Course, You Will...

• Be capable of conducting offensive tests and analyzing logs effectively.
• Know how to make detections and document them using standardized templates.
• Enforce your detection data through code and automate the process.
• Be able to run metrics on your detection data and visualize it for better understanding.

Course Details

• Total Duration: ~11 hours 🕒
• Self-Paced Learning: Expect to spend additional 20-40 hours for full comprehension and practice.
• All Code Provided: Don't stress about writing everything from scratch; we provide all the code used in the course on our dedicated GitHub repository.

Requirements

To fully immerse yourself in this course, you'll need:

• Hardware Specs:
  • Recommended: 6+ CPU Cores, 16GB+ RAM, 50GB+ Hard Drive Space.
  • Minimum: 4 CPU Cores, 8GB RAM, 50GB Hard Drive Space.
• Software Specs:
  • A machine capable of running multiple VMs with:
    • Ubuntu Linux
    • ParrotOS
    • Windows 11

Course Format & Delivery

This course is a blend of video tutorials, hands-on lab work, and interactive exercises designed to challenge and expand your knowledge in detection engineering. Each step is carefully crafted to build upon the previous one, ensuring a comprehensive understanding of the subject matter. 🎓

Join Us on This Adventure!

Whether you're a seasoned security analyst or new to the field, this course will equip you with the skills and knowledge necessary to become a detection engineering hero. Get ready to dive into the world of security operations, and transform your approach to threat detection and response. 🛡️🔥

Enroll now and take the first step towards mastering Detection Engineering!