This comprehensive course on Threat Intelligence Management is designed for cybersecurity professionals who aspire to master the art of analyzing and mitigating cyber threats effectively.
This comprehensive course on Threat Intelligence Management is designed for cybersecurity professionals who aspire to master the art of analyzing and mitigating cyber threats effectively.
The curriculum covers a broad spectrum of topics from the foundational concepts of threat intelligence to advanced applications in various organizational contexts. Through a mix of theoretical knowledge and practical exercises, participants will learn to develop, manage, and implement an effective threat intelligence program tailored to their organization’s needs.
This class is less about tools and more about learning frameworks, process, and logic tools to provide intelligence.
Syllabus
1. Introduction to Threat Intelligence
Defining Threat Intelligence: Understand the nuances of threat intelligence and how it differs across industries
Applications Across Sectors: Explore the unique applications of threat intelligence in different sectors such as finance, healthcare, and government
Data to Intelligence: Learn methodologies to transform raw data into actionable intelligence
Intelligence Types: Detailed discussion on Tactical, Strategic, Operational, and Technical intelligence
2. Intelligence Frameworks and Protocols
Traffic Light Protocol: Guidelines for data sharing sensitivity
Cyber Kill Chain and Diamond Model: Understanding attacker engagement sequences and the facets of an intrusion
Pyramid of Pain and MITRE ATT&CK: Tactical approaches to understanding attacker behaviors and methodologies
3. Cognitive Biases in Intelligence
Identification and Mitigation: Learn to identify common cognitive biases and strategies to mitigate their impact on intelligence analysis
4. Intelligence Life Cycle
Comprehensive Overview: From direction setting to feedback integration, each phase of the intelligence lifecycle is explored with relevant tools and techniques for enhancement
5. Inventory and Asset Management
Internal Assessment: Techniques to inventory critical organizational assets and understand the attack surface
Attack Surface Management Tools: Explore tools and techniques for effective management and threat assessment
6. Threat Modeling, Landscaping, and Profiling
Threat Modeling Techniques: Introduction to STRIDE, PASTA, and decision trees
Threat Landscaping and Actor Profiling: Learn to define the threat landscape and profile potential threat actors based on intent and capabilities
7. Priority Intelligence Requirements (PIRs)
Development and Communication: Crafting effective PIRs and strategies for cross-departmental communication
8. Advanced Intelligence Dissemination and Tools
Choosing Intelligence Vendors and Platforms: Criteria and best practices for selecting threat intelligence vendors and platforms
Tools and Techniques: Exploration of dark web analysis tools, deception technology, note-taking methodologies, visualization tools, and domain intelligence
Wade Wells is the Lead Detection Engineer for a Fortune 30 financial company. He has worked for eight years in security operations, performing threat hunting, cyber threat intelligence, and detection engineering, primarily in the financial sector. ​Active in the cybersecurity community, Wade frequently speaks at prominent industry events and is involved with several security-focused organizations.
Register for Upcoming
Cyber Threat Intelligence 101
On-Demand
Wade Wells
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