Threat Hunting & Detection Engineering

Comprehensive training designed for professionals

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Course Overview

Explore the course outline and contact our advisors about prerequisites, practical work, and current availability.

For the current syllabus, prerequisites, fees, and batch availability, contact our training advisors.

Meet Your Instructor: Sajid Hussain Raza

AI security lecturer, AI red teamer and DFIR specialist. Director & Co-Founder of Cyber Legends with deep experience across penetration testing, digital forensics and AI governance.

Course Lectures

Course Content

1 Threat Hunting Methodology
2 Hypothesis-Driven Hunting
3 Endpoint Detection & EDR Telemetry
4 Network-Based Hunting
5 Detection Engineering with Sigma
6 Threat Intelligence Integration
7 Hunting in Cloud Environments
8 Hunt Team Capstone Exercise

Threat Hunting Methodology

2 hours

Lecture 1 of 8

Structured hunting: hypotheses, intel-driven and analytics-driven approaches.

Hypothesis-Driven Hunting

2 hours

Lecture 2 of 8

Building and testing hunt hypotheses against MITRE ATT&CK techniques.

Endpoint Detection & EDR Telemetry

3 hours

Lecture 3 of 8

Sysmon, EDR data, and process tree analysis for finding stealthy threats.

Network-Based Hunting

2 hours

Lecture 4 of 8

Zeek logs, DNS analysis, and beaconing detection for C2 discovery.

Detection Engineering with Sigma

2 hours

Lecture 5 of 8

Writing, testing, and tuning Sigma rules that convert hunts into detections.

Threat Intelligence Integration

2 hours

Lecture 6 of 8

Operationalizing CTI: from IOC feeds to behavior-based hunting.

Hunting in Cloud Environments

2 hours

Lecture 7 of 8

CloudTrail, Azure logs, and hunting lateral movement in cloud estates.

Hunt Team Capstone Exercise

3 hours

Lecture 8 of 8

Team-based hunt across a compromised enterprise range with full reporting.

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Eligibility Criteria

SOC or security monitoring experience recommended.

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Frequently Asked Questions

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