Introduction

Detection Engineering with Sigma is a comprehensive, hands-on course that teaches you how to research threats, author portable detection logic, and operationalize Sigma rules across multiple SIEM platforms. You’ll learn a practical methodology for building resilient detections that minimize false positives, remain effective over time, and accelerate incident response through automation and strong engineering practices.

Course overview

Starting with the foundations of detection engineering, you’ll explore telemetry sources, log schemas, and attacker tradecraft. Then, you’ll write Sigma rules with clean metadata, clear selection logic, and durable conditions. You’ll convert rules to backend queries, validate them against sample logs, and deploy them into SIEMs with scheduled searches and routing. Advanced modules cover version control, CI pipelines, pySigma transformations, and rule lifecycle management to ensure detections scale and stay maintainable.

Key learning outcomes

• Sigma fundamentals: Rule structure, fields, selections, conditions, and metadata best practices.
• Threat-informed logic: Map detections to techniques, behaviors, and hypotheses for robust coverage.
• Multi-SIEM portability: Convert Sigma to Splunk, Elastic, Sentinel, and other backends.
• Tuning & validation: Reduce noise, test with lab data, and create resilient rules over time.
• Automation pipelines: Use pySigma, version control, and CI to ship detections consistently.
• Operations & governance: Scheduled searches, alert routing, documentation, and lifecycle tracking.

Hands-on modules

• Module 1: Detection engineering foundations, telemetry mapping, and threat models.
• Module 2: Writing Sigma rules — selections, conditions, tags, and references.
• Module 3: Backend conversion — generating Splunk/Elastic queries and testing against logs.
• Module 4: Tuning techniques — thresholds, allowlists, contextual enrichment, and drift control.
• Module 5: Automation with pySigma — pipelines, transforms, and CI checks.
• Module 6: SIEM deployment — scheduled searches, alert channels, and runbook integration.
• Module 7: Rule operations — versioning, deprecation, metrics, and effectiveness assessment.
• Capstone: Build an end-to-end Sigma detection pack with tests, CI, and documentation.

Who should enroll?

Ideal for SOC analysts, detection engineers, threat hunters, and security architects who want portable, automated, and reliable detections. This course also benefits incident responders and blue-team leaders seeking to standardize detection logic across heterogeneous SIEM environments and improve time-to-detect and time-to-respond metrics.

Explore These Valuable Resources

• pySigma Documentation
• SigmaHQ: Sigma Rule Repository
• MITRE ATT&CK Framework

Explore Related Courses

• https://expertrainingdownload.com/cybersecurity-fundamentals/
• https://expertrainingdownload.com/siem-operations/
• https://expertrainingdownload.com/threat-hunting/
• https://expertrainingdownload.com/malware-analysis/
• https://expertrainingdownload.com/incident-response/

Conclusion

The Detection Engineering with Sigma Course provides a practical blueprint for writing, converting, and automating high-quality detections. By mastering Sigma and its ecosystem, you’ll build a portable and scalable detection practice that strengthens your SOC’s effectiveness and drives measurable improvements in threat coverage and response.