RCCE Course
Course #38

Hands-On Containment

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

RCCE students will learn incident containment strategies including network isolation, account suspension, system quarantine, and threat neutralization during active security incidents. RCCE students will learn to make rapid containment decisions that balance security with business continuity, implement network-level containment using firewall rules and VLAN isolation, execute host-level containment through endpoint isolation and process termination, contain compromised accounts through credential reset and session revocation, document containment actions for forensic and legal purposes, and coordinate containment activities across distributed teams and environments. This practice-intensive course emphasizes applied skills through lab exercises, real-world scenarios, and production-realistic workflows. Building on core knowledge, RCCE students will learn by doing, building muscle memory and practical confidence through repeated hands-on engagement. Students complete exercises that mirror actual workplace tasks, ensuring skills transfer directly to their professional roles.

🎯 Target Audience
  • Security Engineers building defensive controls
  • Security Analysts and Blue Team members
  • Systems Administrators with security responsibilities
  • GRC and Risk Professionals supporting controls
  • Professionals implementing Hands-On Containment
🧠 What You Will Learn
  • Execute hands-on tasks for hands-on containment
  • Execute hands-on tasks for advanced cyber defense mastery
  • Explain Executive Overview fundamentals
  • Execute hands-on tasks for course mission — covering Master rapid containment decision-making.
  • Execute hands-on tasks for business continuity
  • Execute hands-on tasks for legal & compliance
  • Execute hands-on tasks for cross-team coordination
  • Execute hands-on tasks for core definitions & terminology
  • Execute hands-on tasks for network isolation
  • Execute hands-on tasks for system quarantine
  • Execute hands-on tasks for containment decision framework
  • Execute hands-on tasks for speed vs. precision tradeoff — covering Severity level (P1/P2/P3/P4).
📚 Course Outline
Module 01Hands-On Containment
Module 02Advanced Cyber Defense Mastery
Module 03Executive Overview
Module 04Course Mission
Module 05Business Continuity
Module 06Legal & Compliance
Module 07Cross-Team Coordination
Module 08Core Definitions & Terminology
Module 09Network Isolation
Module 10System Quarantine
Module 11Containment Decision Framework
Module 12Speed vs. Precision Tradeoff
Module 13Network Isolation Techniques
Module 14Firewall-Based Isolation
🧪 Lab Details

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

  • Lab 1: Execute hands-on tasks for hands-on containment
  • Lab 2: Execute hands-on tasks for advanced cyber defense mastery
  • Lab 3: Explain Executive Overview fundamentals
  • Lab 4: Execute hands-on tasks for course mission
  • Lab 5: Execute hands-on tasks for business continuity
📊 Skill Level
Intermediate
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 Hands-On Containment, 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