RCCE Course
Course #480

Detection engineering Incident Response: Blueprint

📊 Level: Advanced
⏱️ Duration: 2 Days
🏷️ Track: SOC
📋 Prerequisites: Foundations
🖥️ Mode: Online Instructor-Led
📝 Course Description

RCCE students will learn how to build, test, and maintain high-fidelity detection rules across SIEM, EDR, and cloud security platforms. RCCE students will learn to translate threat intelligence and MITRE ATT&CK techniques into detection logic, write detection rules using query languages (SPL, KQL, Sigma), reduce false positive rates through rule tuning, implement detection-as-code workflows, version control detection content, measure detection coverage gaps, and build automated testing pipelines that validate detection rules against simulated attack data before production deployment. This incident response course prepares students to act decisively during security incidents with structured workflows and clear decision frameworks. At an expert level, RCCE students will learn containment, evidence collection, eradication, and recovery procedures specific to this domain. Students practice incident scenarios that build the composure, coordination, and documentation skills essential for effective incident handling.

🎯 Target Audience
  • SOC Analysts and Incident Responders
  • Detection Engineers and SIEM Content Authors
  • Threat Hunters improving adversary coverage
  • Security Operations Team Leads
  • Professionals implementing Detection engineering Incident Response: Blueprint
🧠 What You Will Learn
  • Build detections and response workflows for privilege escalation
  • Explain Module Overview fundamentals
  • Build detections and response workflows for privilege escalation, including Incident Response.
  • Explain Detection Engineering Foundations fundamentals
  • Build detections and response workflows for privilege escalation, including Systematic approach to threat detection.
  • Design a scalable privilege management architecture with policy and enforcement, including Level 0: No detection capability.
  • Execute hands-on tasks for data source
  • Execute hands-on tasks for intelligence sources
  • Execute hands-on tasks for translation process — covering OSINT feeds and threat reports.
📚 Course Outline
Module 01Detection Engineering &
Module 02Incident Response: Blueprint
Module 03Module Overview
Module 04Detection Engineering
Module 05Detection Engineering Foundations
Module 06What Is Detection Engineering
Module 07Detection Maturity Model
Module 08Detection Rule Lifecycle
Module 09Data Source
Module 10Threat Intelligence to Detection Pipeline
Module 11Intelligence Sources
Module 12Translation Process
Module 13MITRE ATT&CK Framework for Detection
Module 14Coverage Gap Analysis
🧪 Lab Details

All hands-on labs run on Rocheston Rose X OS. Students practice detection engineering incident response: blueprint by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.

  • Lab 1: Build detections and response workflows for privilege escalation
  • Lab 2: Build detections and response workflows for privilege escalation
  • Lab 3: Explain Module Overview fundamentals
  • Lab 4: Build detections and response workflows for privilege escalation
  • Lab 5: Explain Detection Engineering Foundations fundamentals
📊 Skill Level
Advanced
Beginner Intermediate Advanced Expert
Duration
2 Days
🎓
Certificate
Completion
🖥️
Lab Platform
Rose X OS
👨‍🏫
Mode of Training
Online Instructor-Led
🔥
Platform
Zelfire
🐦‍⬛
Cyber Range
Raven
📓
Study Material
CyberNotes
🏆 Certificate

Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for Detection engineering Incident Response: Blueprint, verifiable through the Rocheston certification portal.

🔑 Student Access & Materials
  • Full access to all course materials and slide decks
  • Hands-on lab access on Rocheston Rose X OS environment
  • Access to Rocheston CyberNotes
  • Access to Rocheston Zelfire — EDR/XDR SIEM platform
  • Access to Rocheston Raven — online cyber range exercise platform
  • Access to Rocheston Vulnerability Vines AI