KQL Advanced

Advanced 1 day Detection Engineering Incident Response KQL Training Program Microsoft Defender XDR Microsoft Sentinel Threat Hunting

Description

This advanced training is designed for experienced KQL users who want to specialize in advanced threat detection, hunting, and analytics.

Participants learn how to build complex detection logic, perform time-series analysis, and design scalable hunting and detection frameworks.

The course focuses on expert-level use of KQL within Microsoft Sentinel and Microsoft Defender XDR, including advanced workbooks, automation scenarios, and detection engineering best practices.

Through an intensive hands-on end-to-end attack scenario, participants apply all learned techniques in a realistic investigation and response workflow.

By the end of the day, participants operate KQL at an expert level and can design advanced detection and hunting solutions.

Prerequisites

Completion of the KQL Intermediate Training or extensive hands-on experience with KQL.

Participants should be comfortable building complex queries, using multiple joins, and working with workbooks and detection rules.

Experience in threat hunting, SOC operations, or detection engineering is strongly recommended.

What You Will Learn

After completing this training, participants will be able to:
- Build sequential and behavioral detections using advanced KQL techniques
- Apply time-series analysis and anomaly detection functions
- Use advanced operators, windowing, and text analysis functions
- Design interactive and parameterized workbooks
- Build scalable automation workflows for incident response
- Apply detection engineering best practices including versioning and tuning
- Develop reusable KQL functions and query libraries
- Map detections to MITRE ATT&CK techniques
- Conduct advanced threat hunting campaigns

Participants will be capable of designing enterprise-grade detection and hunting solutions.

Course Summary
  • Level: Advanced
  • Duration: 1 day
  • Learning Hours: 14.5 hours
  • Certificate: Awarded on completion
Subjects
Detection Engineering Incident Response KQL Training Program Microsoft Defender XDR Microsoft Sentinel Threat Hunting
Curriculum
Day 1: KQL Advanced

Instructor-led practical training day with guided demonstrations, hands-on KQL work, operational discussion, and end-of-day checkpoint.

  • Expert KQL mindset for hunting and detection engineering
    Frame advanced KQL as hypothesis-driven, behavior-oriented detection work.
  • Sequential and behavioral detections
    Model event sequences and suspicious behavior progression.
  • Advanced text, regex, and analytical operators
    Use regex and analytical operators for high-fidelity signal extraction.
  • Time-series analysis with make-series and anomaly functions
    Apply time-window and anomaly decomposition for security telemetry.
  • Advanced workbooks and interactive operational views
    Design parameterized, drill-down workbook experiences for SOC teams.
  • KQL-driven automation and response design
    Translate advanced detections into safe, auditable response actions.
  • Detection engineering patterns, reusable functions, and MITRE mapping
    Build maintainable detection assets with tuning/versioning discipline.
  • End-to-end attack scenario capstone
    Correlate full attack progression from initial access to impact and response guidance.
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