Cyber Threat Intelligence and Analysis Training Course

This course equips participants with the knowledge and practical skills required to collect, analyze, and use cyber threat intelligence to strengthen organizational security. It focuses on threat intelligence frameworks, data collection techniques, threat actor profiling, analysis methods, intelligence reporting, and proactive defense strategies. Participants will learn how to transform raw security data into actionable intelligence that supports threat detection and incident prevention.

Target Groups

• Cybersecurity analysts and engineers
• Security operations center (SOC) teams
• Incident response professionals
• Threat intelligence analysts
• IT security and network administrators
• Risk and compliance officers
• Government and defense cybersecurity personnel
• Students pursuing cybersecurity or intelligence studies

Course Objectives

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

• Understand principles of cyber threat intelligence
• Identify different types of cyber threats and actors
• Collect and analyze threat intelligence data
• Use intelligence frameworks and methodologies
• Identify indicators of compromise (IOCs) and attack (IOAs)
• Develop actionable intelligence reports
• Support incident response and SOC operations
• Enhance proactive cybersecurity defenses
• Improve organizational risk awareness
• Apply ethical and legal standards in intelligence gathering

Course Modules

Module 1: Introduction to Cyber Threat Intelligence

• Definition and importance of threat intelligence
• Types of threat intelligence (strategic, tactical, operational, technical)
• Role of intelligence in cybersecurity
• Threat intelligence lifecycle
• Intelligence-driven security approach

Module 2: Threat Actors and Attack Motivations

• Types of cyber threat actors
• Hacktivists, cybercriminals, insiders, nation-states
• Motivations behind cyber attacks
• Threat actor profiling
• Attack methodologies and behavior patterns

Module 3: Intelligence Collection Methods

• Open-source intelligence (OSINT)
• Human intelligence (HUMINT) basics
• Technical data collection
• Dark web and deep web monitoring
• Data sources and feeds

Module 4: Threat Intelligence Frameworks

• MITRE ATT&CK framework
• Diamond model of intrusion analysis
• Cyber kill chain model
• Using frameworks for structured analysis
• Mapping threats to frameworks

Module 5: Data Analysis and Processing

• Data normalization and enrichment
• Identifying patterns and correlations
• Malware and phishing analysis basics
• Log and event data interpretation
• Tools for threat analysis

Module 6: Indicators of Compromise and Attack

• Definition and types of indicators
• Identifying IOCs and IOAs
• Behavioral indicators of threats
• Tracking malicious infrastructure
• Updating threat databases

Module 7: Threat Intelligence Tools and Platforms

• Threat intelligence platforms (TIPs)
• SIEM integration with intelligence feeds
• Automation tools for analysis
• Malware analysis tools
• Visualization and reporting tools

Module 8: Intelligence Reporting and Communication

• Structuring intelligence reports
• Writing actionable insights
• Audience-specific reporting
• Visualization of threat data
• Communicating with stakeholders

Module 9: Proactive Defense and Security Operations

• Using intelligence for threat hunting
• Enhancing SOC operations with intelligence
• Incident prevention strategies
• Risk-based security decisions
• Continuous intelligence improvement

Module 10: Capstone Project and Case Studies

• Real-world cyber threat scenarios
• Threat actor analysis exercise
• Group project: building a threat intelligence report
• Intelligence-driven incident response simulation
• Emerging trends in cyber threat intelligence and AI-driven analysis