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Course Outline

Core Principles of Detection Engineering for Government

  • Foundational responsibilities and operational concepts
  • Phases of the detection engineering lifecycle
  • Essential instruments and telemetry data streams

Analyzing Log Provenance

  • Endpoint records and event metadata
  • Network transmission and flow metrics
  • Cloud infrastructure and identity management logs

Integrating Threat Intelligence for Government Defense

  • Categorization of intelligence data
  • Leveraging intelligence to guide detection architecture
  • Correlating threat vectors with specific log channels

Constructing High-Performance Detection Rules

  • Logical structures and pattern syntax
  • Behavioral analysis versus signature matching
  • Implementation via Sigma, Elastic, and SO frameworks

Alert Calibration and Efficiency

  • Reduction of non-malicious alerts
  • Cyclical improvement of rule definitions
  • Evaluation of alert context and trigger limits

Methodologies for Investigation

  • Verification of detected anomalies
  • Cross-referencing multiple data repositories
  • Recording analytical outcomes and procedural notes

Deployment of Detection Systems

  • Control of versions and modification oversight
  • Release of rules to operational environments
  • Ongoing assessment of rule efficacy

Advanced Competencies for Emerging Engineers

  • Alignment with MITRE ATT&CK standards
  • Standardization and interpretation of data
  • Process automation within detection pipelines

Conclusions and Procedural Pathways

Requirements

  • Comprehension of fundamental networking principles
  • Practical experience operating Windows or Linux systems
  • Working knowledge of basic cybersecurity terminology

Intended Participants

  • Early-career analysts focusing on security oversight
  • Recent members of Security Operations Center teams
  • Information technology specialists transitioning into detection engineering roles
 21 Hours

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