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Course Outline

Fundamentals of Detection Engineering

  • Core concepts and key responsibilities
  • The detection engineering lifecycle
  • Essential tools and telemetry sources

Understanding Log Sources

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

Threat Intelligence for Detection

  • Various types of threat intelligence
  • Utilizing TI to guide detection design
  • Mapping threats to relevant log sources

Developing Effective Detection Rules

  • Rule logic and pattern structures
  • Distinguishing behavioral detection from signature-based activity
  • Utilizing Sigma, Elastic, and SIEM rules

Alert Tuning and Optimization

  • Minimizing false positives
  • Iterative refinement of rules
  • Understanding alert context and thresholds

Investigation Techniques

  • Validating detections
  • Pivoting across different data sources
  • Documenting findings and investigation notes

Operationalizing Detections

  • Versioning and change management
  • Deploying rules to production systems
  • Monitoring rule performance over time

Advanced Concepts for Junior Engineers

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

Summary and Next Steps

Requirements

  • A solid understanding of basic networking principles
  • Practical experience using operating systems such as Windows or Linux
  • Familiarity with fundamental cybersecurity terminology

Target Audience

  • Junior analysts interested in security monitoring
  • New members of SOC teams
  • IT professionals transitioning into detection engineering
 21 Hours

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