Threat Hunting and Advanced Detection Techniques Training Course

This course equips participants with the knowledge and practical skills required to proactively identify, investigate, and mitigate advanced cyber threats before they cause significant damage. It focuses on threat hunting methodologies, behavioral analysis, anomaly detection, security telemetry, intelligence-driven hunting, and advanced detection techniques. Participants will learn how to move beyond reactive security and adopt proactive threat discovery approaches.

Target Groups

• Cybersecurity analysts and SOC teams
• Threat hunters and incident response professionals
• Security engineers and network administrators
• IT security and infrastructure teams
• Cloud security and DevSecOps professionals
• Risk and compliance officers
• Penetration testers and ethical hackers
• Students pursuing cybersecurity or IT security

Course Objectives

By the end of this course, participants will be able to:

• Understand principles of threat hunting and advanced detection
• Identify hidden and sophisticated cyber threats
• Develop proactive threat hunting hypotheses
• Use security telemetry for investigation
• Apply behavioral and anomaly detection techniques
• Analyze logs and security events effectively
• Leverage threat intelligence in hunting activities
• Detect indicators of compromise (IOCs) and attack (IOAs)
• Improve organizational detection capabilities
• Strengthen proactive cybersecurity defense strategies

Course Modules

Module 1: Introduction to Threat Hunting

• Definition and importance of threat hunting
• Reactive vs proactive security approaches
• Role of threat hunting in cybersecurity
• Threat hunting lifecycle
• Types of cyber threats targeted

Module 2: Threat Hunting Methodologies

• Hypothesis-driven hunting
• Intelligence-driven hunting
• Analytics-driven hunting
• Behavior-based hunting
• Structured hunting frameworks

Module 3: Security Data and Telemetry

• Sources of security data
• Endpoint, network, and cloud telemetry
• Log collection and normalization
• Data correlation techniques
• Building visibility across systems

Module 4: Advanced Threat Detection Techniques

• Signature-based detection limitations
• Behavioral analytics methods
• Anomaly detection techniques
• Machine learning in detection
• Detection engineering fundamentals

Module 5: Indicators of Compromise and Attack

• Understanding IOCs and IOAs
• Identifying malicious patterns
• Tracking attacker behavior
• Mapping indicators to threat actors
• Updating detection rules

Module 6: Threat Intelligence in Hunting

• Role of threat intelligence in detection
• Using intelligence feeds effectively
• Mapping MITRE ATT&CK framework
• Enriching alerts with context
• Proactive intelligence-driven hunting

Module 7: Log Analysis and Correlation

• Advanced log analysis techniques
• Cross-system event correlation
• Identifying hidden attack patterns
• Timeline reconstruction
• Detecting lateral movement

Module 8: Detection Tools and Technologies

• SIEM platforms for threat hunting
• Endpoint detection and response (EDR) tools
• Security analytics platforms
• Query languages for investigation
• Visualization and dashboarding tools

Module 9: Investigation and Response

• Validating detected threats
• Deep-dive investigation techniques
• Escalation and incident response coordination
• Containment strategies for detected threats
• Documentation and reporting

Module 10: Capstone Project and Case Studies

• Real-world advanced threat scenarios
• End-to-end threat hunting simulation
• Group project: building a hunting strategy
• Detection rule development exercise
• Emerging trends in AI-driven threat hunting and autonomous detection systems