RCCE Course
Course #760

Segmentation Tuning and Optimization

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

RCCE students will learn network segmentation design and implementation including VLAN segmentation, micro-segmentation, zero trust network architecture, and segmentation testing. RCCE students will learn to design network segmentation architectures that limit lateral movement, implement VLANs, firewall zones, and software-defined segmentation, apply micro-segmentation to protect high-value assets, verify segmentation effectiveness through penetration testing, monitor inter-segment traffic for policy violations, troubleshoot segmentation-related connectivity issues, and maintain segmentation policies as organizational network architectures evolve across on-premises, cloud, and hybrid environments. This optimization course focuses on maximizing effectiveness and efficiency in production security operations. At an expert level, RCCE students will learn to reduce noise, improve signal quality, tune configurations for optimal performance, and measure operational improvements. Students gain the operational maturity to transform good security programs into exceptional ones.

🎯 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 Segmentation Tuning and Optimization
🧠 What You Will Learn
  • Execute hands-on tasks for segmentation tuning
  • Explain Course Overview fundamentals
  • Execute hands-on tasks for what you will learn — covering VLAN & firewall zone segmentation design, Micro-segmentation for high-value assets.
  • Execute hands-on tasks for operational outcomes — covering Verify segmentation via pen testing, inter-segment policy violations.
  • Execute hands-on tasks for network segmentation fundamentals
  • Execute hands-on tasks for core principles
  • Execute hands-on tasks for business drivers — covering Divide networks into isolated segments, Regulatory compliance (PCI-DSS, HIPAA).
  • Design a scalable privilege management architecture with policy and enforcement
  • Execute hands-on tasks for layer 4-7 (firewall)
  • Execute hands-on tasks for naming standards
📚 Course Outline
Module 01Segmentation Tuning
Module 02Course Overview
Module 03What You Will Learn
Module 04Operational Outcomes
Module 05Network Segmentation Fundamentals
Module 06Core Principles
Module 07Business Drivers
Module 08Segmentation Architecture Layers
Module 09Layer 4-7 (Firewall)
Module 10VLAN Design Principles
Module 11Design Goals
Module 12Naming Standards
Module 13Common Mistakes
Module 14Mapping to IP subnets
🧪 Lab Details

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

  • Lab 1: Execute hands-on tasks for segmentation tuning
  • Lab 2: Explain Course Overview fundamentals
  • Lab 3: Execute hands-on tasks for what you will learn
  • Lab 4: Execute hands-on tasks for operational outcomes
  • Lab 5: Execute hands-on tasks for network segmentation 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 Segmentation Tuning and Optimization, 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