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 Duration 21 hours

Course Outline

Foundations of Detection Engineering

  • Essential concepts and roles
  • The detection engineering lifecycle
  • Primary tools and telemetry origins

Exploring Log Sources

  • Endpoint logs and event data artifacts
  • Network traffic and flow information
  • Cloud and identity provider logs

Threat Intelligence for Detection

  • Categorizations of threat intelligence
  • Leveraging TI to guide detection design
  • Aligning threats with specific log sources

Creating Robust Detection Rules

  • Rule logic and pattern frameworks
  • Identifying behavioral versus signature-based activity
  • Utilizing Sigma, Elastic, and SO rules

Alert Tuning and Optimization

  • Reducing false positives
  • Refining rules through iteration
  • Comprehending alert context and thresholds

Investigation Methodologies

  • Verifying detections
  • Pivoting across various data sources
  • Recording findings and investigation details

Operationalizing Detections

  • Version control and change management
  • Rolling out rules to production environments
  • Tracking rule performance over time

Advanced Concepts for Junior Engineers

  • Alignment with MITRE ATT&CK
  • Data normalization and parsing
  • Automation potential in detection workflows

Conclusion and Future Directions

Requirements

  • A grasp of fundamental networking principles
  • Proficiency with operating systems like Windows or Linux
  • Acknowledgement of core cybersecurity terminology

Target Audience

  • Junior analysts focused on security monitoring
  • Newly onboarded SOC team members
  • IT professionals transitioning into detection engineering

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