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Course Outline
Fundamentals of Detection Engineering
- Core concepts and responsibilities.
- The detection engineering lifecycle.
- Key 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.
- Using threat intelligence (TI) to inform detection design.
- Mapping threats to relevant log sources.
Building Effective Detection Rules
- Rule logic and pattern structures.
- Detecting behavioural versus signature-based activity.
- Utilizing Sigma, Elastic, and SO rules.
Alert Tuning and Optimization
- Minimising false positives.
- Iterative rule refinement.
- 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
- MITRE ATT&CK alignment.
- Data normalization and parsing.
- Automation opportunities in detection workflows.
Summary and Next Steps
Requirements
- A foundational understanding of networking concepts.
- 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 a SOC team.
- IT professionals transitioning into detection engineering.
21 Hours
Testimonials (2)
Clarity and pace of explanations
Federica Galeazzi - Aethra Telecomunications SRL
Course - AI-Powered Cybersecurity: Advanced Threat Detection & Response
It did give me the insight what I needed :) I am starting teaching on a BTEC Level 3 qualification and wanted to widen my knowledge in this area.
