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Course Outline

Foundations of Detection Engineering

  • Core principles and 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

  • Types of threat intelligence
  • Leveraging TI to shape detection strategies
  • Mapping threats to appropriate log sources

Building Effective Detection Rules

  • Rule logic and pattern structures
  • Distinguishing between behavioral and signature-based detection
  • Using Sigma, Elastic, and SO rules

Alert Tuning and Optimization

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

Investigation Techniques

  • Validating detections
  • Pivoting across 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
  • Data normalization and parsing
  • Automation opportunities in detection workflows

Summary and Next Steps

Requirements

  • A basic understanding of networking concepts
  • Experience using operating systems like Windows or Linux
  • Familiarity with core cybersecurity terminology

Target Audience

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

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