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Advance Threat Hunting with KQL - Microsoft Defender

Advance Threat Hunting with KQL - Microsoft Defender

Advance Threat Hunting with KQL - Microsoft Defender

A hands-on Microsoft Defender hunting course for analysts who want stronger KQL, detection logic, and investigation habits.

This training teaches advanced hunting with KQL in Microsoft Defender environments. Participants learn how to move from hypotheses to queries, join endpoint and identity evidence, find suspicious behavior, and convert hunting results into detections. The course is built for analysts who already use Microsoft security tooling and want cleaner, faster, more reliable hunting workflows.

  • Write efficient KQL for endpoint, identity, and cloud investigation.
  • Build hunts around adversary behavior and ATT&CK techniques.
  • Turn hunting findings into durable detections and response tasks.
  • Document query logic, evidence, and analyst conclusions clearly.
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This training teaches advanced hunting with KQL in Microsoft Defender environments. Participants learn how to move from hypotheses to queries, join endpoint and identity evidence, find suspicious behavior, and convert hunting results into detections.

The course is built for analysts who already use Microsoft security tooling and want cleaner, faster, more reliable hunting workflows.

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Training should help analysts produce evidence, decisions, and reports they can use the next day.

Emin Labs Training Team

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Advance Threat Hunting with KQL - Microsoft Defender visual
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Advance Threat Hunting with KQL - Microsoft Defender visual
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Key Outcomes

A hands-on Microsoft Defender hunting course for analysts who want stronger KQL, detection logic, and investigation habits.

  • Write efficient KQL for endpoint, identity, and cloud investigation.
  • Build hunts around adversary behavior and ATT&CK techniques.
  • Turn hunting findings into durable detections and response tasks.
  • Document query logic, evidence, and analyst conclusions clearly.

Curriculum Focus

  • KQL foundations for security telemetry, filtering, parsing, joins, and summarization
  • Microsoft Defender hunting tables, endpoint behavior, identity signals, and email evidence
  • Hypothesis-led hunts for persistence, lateral movement, execution, and exfiltration
  • Detection conversion, tuning, validation, and reporting
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