Cyber Threat Intelligence Training Course

This course equips participants with the knowledge and practical skills required to collect, analyze, and operationalize cyber threat intelligence (CTI) to strengthen organizational security posture. It focuses on threat intelligence frameworks, attacker profiling, threat hunting, intelligence lifecycle management, data analysis, and integration with security operations. Participants will learn how to transform raw security data into actionable intelligence for proactive cyber defense.

Target Groups

• Cybersecurity professionals
• SOC analysts and security operations staff
• Threat intelligence analysts
• Incident response teams
• IT security engineers
• Risk and compliance officers
• DevSecOps engineers
• Cloud security teams
• Public and private sector IT security teams

Course Objectives

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

• Understand principles of cyber threat intelligence
• Apply the threat intelligence lifecycle effectively
• Identify and analyze cyber threat actors and behaviors
• Collect and process threat intelligence data from multiple sources
• Develop actionable intelligence reports
• Support proactive threat hunting and incident response
• Integrate CTI into SOC and SIEM operations
• Improve organizational situational awareness
• Use intelligence frameworks and tools effectively
• Strengthen cybersecurity decision-making through intelligence

Course Modules

Module 1: Introduction to Cyber Threat Intelligence

• Concepts and importance of threat intelligence
• Types of threat intelligence (strategic, tactical, operational, technical)
• Role of CTI in cybersecurity defense
• Intelligence-driven security approach
• Overview of the threat landscape

Module 2: Threat Intelligence Lifecycle

• Direction and planning phase
• Collection of intelligence data
• Processing and normalization
• Analysis and interpretation
• Dissemination and feedback

Module 3: Threat Actors and Attack Patterns

• Types of threat actors (cybercriminals, nation-states, insiders)
• Motivations and capabilities
• Common attack vectors and techniques
• MITRE ATT&CK framework overview
• Real-world threat case studies

Module 4: Data Collection and Intelligence Sources

• Open-source intelligence (OSINT)
• Dark web and deep web intelligence
• Internal security logs and SIEM data
• Threat feeds and intelligence platforms
• Social media and external data sources

Module 5: Threat Analysis and Correlation

• Data analysis techniques for CTI
• Pattern recognition and anomaly detection
• Correlation of threat indicators (IOCs)
• Attribution and threat profiling
• Analytical frameworks and methodologies

Module 6: Threat Intelligence Tools and Platforms

• Threat intelligence platforms (TIPs)
• Integration with SIEM and SOC tools
• Automation and enrichment tools
• Data visualization techniques
• Intelligence sharing platforms

Module 7: Operationalizing Threat Intelligence

• Integrating CTI into SOC workflows
• Supporting incident response teams
• Threat hunting using intelligence data
• Alert prioritization and escalation
• Enhancing security decision-making

Module 8: Reporting and Communication of Intelligence

• Writing actionable intelligence reports
• Audience-specific reporting (technical vs executive)
• Visualization and dashboards
• Intelligence dissemination strategies
• Feedback loops for improvement

Module 9: Advanced Threat Intelligence Techniques

• Behavioral analytics and profiling
• Predictive threat intelligence
• Machine learning in CTI
• Automation and orchestration
• Intelligence sharing communities and frameworks

Module 10: Capstone Project and Case Studies

• Building a complete cyber threat intelligence program
• Case studies of major cyberattacks and intelligence use
• Simulation: threat analysis and response exercise
• Intelligence report development project
• Emerging trends: AI-driven threat intelligence systems, autonomous threat detection platforms, real-time intelligence sharing networks, and predictive cyber defense ecosystems