Zero trust networking Tuning and Optimization
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 optimization course focuses on maximizing effectiveness and efficiency in production security operations. Building on core knowledge, 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.
- Security Engineers building defensive controls
- Security Analysts and Blue Team members
- Systems Administrators with security responsibilities
- GRC and Risk Professionals supporting controls
- Professionals implementing Zero trust networking Tuning and Optimization
- Execute hands-on tasks for threat hunting
- Explain Course Overview fundamentals
- Execute hands-on tasks for what you will learn — covering Proactive threat hunting methodologies, Hypothesis, data, and intel-driven hunting.
- Execute hands-on tasks for optimization focus — covering Reduce noise and false positives, Improve signal quality in detections.
- Execute hands-on tasks for required knowledge
- Execute hands-on tasks for lab environment — covering SOC fundamentals and triage workflows, Splunk Enterprise or Elastic SIEM.
- Execute hands-on tasks for familiarity with mitre att&ck framework — covering Splunk Enterprise or Elastic SIEM.
- Execute hands-on tasks for what is threat hunting?
- Execute hands-on tasks for reactive (traditional) — covering Alert-driven investigation, Responds after detection fires.
- Execute hands-on tasks for proactive (hunting) — covering Hypothesis-driven exploration, Finds threats before alerts.
- Execute hands-on tasks for optimized (mature) — covering Hunts feed automated detection, Continuous improvement loop.
- Design a scalable privilege management architecture with policy and enforcement
| Module 01 | Threat Hunting |
| Module 02 | Course Overview |
| Module 03 | What You Will Learn |
| Module 04 | Optimization Focus |
| Module 05 | Required Knowledge |
| Module 06 | Lab Environment |
| Module 07 | Familiarity with MITRE ATT&CK framework |
| Module 08 | What Is Threat Hunting? |
| Module 09 | Reactive (Traditional) |
| Module 10 | Proactive (Hunting) |
| Module 11 | Optimized (Mature) |
| Module 12 | Threat Hunting Maturity Model |
| Module 13 | Hunting Methodologies Overview |
| Module 14 | Hypothesis-Driven Hunting |
All hands-on labs run on Rocheston Rose X OS. Students practice zero trust networking 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 threat hunting
- Lab 2: Explain Course Overview fundamentals
- Lab 3: Execute hands-on tasks for what you will learn
- Lab 4: Execute hands-on tasks for optimization focus
- Lab 5: Execute hands-on tasks for required knowledge
Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for Zero trust networking Tuning and Optimization, 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