Network telemetry Hardening Clinic: Field Guide
RCCE students will learn cloud network security fundamentals including virtual network design, subnet architecture, security groups, network ACLs, load balancer security, CDN protection, and hybrid connectivity security. RCCE students will learn to design secure cloud network architectures across AWS VPC, Azure VNet, and GCP VPC, implement micro-segmentation strategies, configure web application firewalls for cloud workloads, secure inter-region and hybrid connections using VPN and private connectivity services, monitor cloud network traffic for anomalies, and troubleshoot cloud network security issues while maintaining least-privilege network access. This hands-on hardening course focuses on reducing attack surface through practical configuration changes and security guardrails. Starting from foundational concepts, RCCE students will learn to apply hardening baselines, validate configurations, and measure the security improvement achieved. Students walk away with actionable hardening checklists and the skills to maintain hardened configurations as environments evolve.
- Security Engineers building defensive controls
- Security Analysts and Blue Team members
- Systems Administrators with security responsibilities
- GRC and Risk Professionals supporting controls
- Professionals implementing Network telemetry Hardening Clinic: Field Guide
- Monitor and audit privilege usage; detect escalation attempts
- Execute hands-on tasks for field guide
- Execute hands-on tasks for cloud network security fundamentals & hardening baselines
- Execute hands-on tasks for course objectives & scope
- Design a scalable privilege management architecture with policy and enforcement, including Architect VPCs across AWS, Azure, GCP.
- Execute hands-on tasks for configure security controls — covering Security groups and network ACLs.
- Monitor and audit privilege usage; detect escalation attempts, including Network telemetry collection and analysis.
- Execute hands-on tasks for respond & maintain — covering network anomalies in real time.
- Execute hands-on tasks for cloud network fundamentals
- Execute hands-on tasks for virtual networks
- Design a scalable privilege management architecture with policy and enforcement
- Integrate privilege controls with identity providers and SIEM telemetry, including Physical network infrastructure.
| Module 01 | Network Telemetry Hardening Clinic |
| Module 02 | Field Guide |
| Module 03 | Cloud Network Security Fundamentals & Hardening Baselines |
| Module 04 | Course Objectives & Scope |
| Module 05 | Design Secure Cloud Networks |
| Module 06 | Configure Security Controls |
| Module 07 | Monitor & Validate |
| Module 08 | Respond & Maintain |
| Module 09 | Cloud Network Fundamentals |
| Module 10 | Virtual Networks |
| Module 11 | Cloud Network Architecture Layers |
| Module 12 | Cloud Provider Manages |
| Module 13 | Customer Manages |
| Module 14 | AWS VPC Architecture |
All hands-on labs run on Rocheston Rose X OS. Students practice network telemetry hardening clinic: field guide by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.
- Lab 1: Monitor and audit privilege usage; detect escalation attempts
- Lab 2: Execute hands-on tasks for field guide
- Lab 3: Execute hands-on tasks for cloud network security fundamentals & hardening baselines
- Lab 4: Execute hands-on tasks for course objectives & scope
- Lab 5: Design a scalable privilege management architecture with policy and enforcement
Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for Network telemetry Hardening Clinic: Field Guide, verifiable through the Rocheston certification portal.
- 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