Detection engineering Troubleshooting
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 diagnostic course focuses on identifying, analyzing, and resolving common failures, misconfigurations, and operational issues. At an expert level, RCCE students will learn systematic troubleshooting methodologies that accelerate root-cause analysis and minimize downtime. Students work through realistic break-fix scenarios that build the diagnostic confidence needed for high-pressure production environments.
- SOC Analysts and Incident Responders
- Detection Engineers and SIEM Content Authors
- Threat Hunters improving adversary coverage
- Security Operations Team Leads
- Professionals implementing Detection engineering Troubleshooting
- Build detections and response workflows for privilege escalation
- Explain Course Overview fundamentals
- Execute hands-on tasks for automation & devops — covering Detection-as-code workflows.
- Execute hands-on tasks for operational excellence — covering detection coverage gaps.
- Build detections and response workflows for privilege escalation, including Discipline of designing detection logic, and Hypothesis > Author > Test > Deploy > Tune.
- Execute hands-on tasks for reduces mean time to detect (mttd) — covering Hypothesis > Author > Test > Deploy > Tune.
- Execute hands-on tasks for signal vs. noise — covering Low fidelity: broad behavioral triggers.
- Execute hands-on tasks for threat intel
| Module 01 | Detection Engineering |
| Module 02 | Build, Test, Debug & Maintain High-Fidelity Detection Rules |
| Module 03 | Course Overview |
| Module 04 | Automation & DevOps |
| Module 05 | Operational Excellence |
| Module 06 | Detection Engineering Fundamentals |
| Module 07 | What Is Detection Engineering? |
| Module 08 | Detection Lifecycle |
| Module 09 | Reduces mean time to detect (MTTD) |
| Module 10 | Signal vs. Noise |
| Module 11 | Detection Engineering Lifecycle |
| Module 12 | Threat Intel |
| Module 13 | Feedback Loop |
| Module 14 | SIEM Architecture & Data Pipelines |
All hands-on labs run on Rocheston Rose X OS. Students practice detection engineering troubleshooting 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 Course Overview fundamentals
- Lab 4: Execute hands-on tasks for automation & devops
- Lab 5: Execute hands-on tasks for operational excellence
Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for Detection engineering Troubleshooting, 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