Advanced Threat Intelligence Techniques
Advanced Threat Intelligence Techniques (ATI) teaches learners how to produce defensible, decision-relevant threat intelligence under real-world constraints.
Segment 00: Welcome to the Course: Course Overview
Segment 01: Course Orientation: Intelligence Tradecraft and Outcomes
Segment 02: Chapter Introduction
Segment 03: Defining Intelligence as Decision-Support Discipline
Segment 04: Strategic, Operational and Tactical Intelligence Explained
Segment 05: Applying the Intelligence Cycle to Cyber Threat Analysis
Segment 06: Framing the Intelligence Problem for Decision-Making
Segment 07: Decomposing Intelligence Questions and Assumptions
Segment 08: Using MITRE ATT&CK to Structure Intelligence Problems
Segment 09: Modeling Adversaries, Capabilities and Intent
Segment 10: Analyzing Target Systems and Centers of Gravity
Segment 11: Managing Intelligence, Consumers, and Expectations
Segment 12: Reading - Tradecraft Primer
Segment 13: Hands-On-Learning: Framing Intelligence Problems and Modeling Adversary Impact
Segment 14: Quiz - Threat Intelligence Fundamentals and Frameworks
Segment 15: Chapter Introduction
Segment 16: Designing OSINT Research Strategies
Segment 17: Collecting and Interpreting Dark Web Intelligence
Segment 18: Filtering OSINT Data for Analytic Relevance
Segment 19: Identifying and Evaluating Malware Intelligence Sources
Segment 20: Observing Malware Behavior Using Sandboxes
Segment 21: Inferring Adversary Intent from Malware Behavior
Segment 22: Applying Statistical Reasoning to Threat Intelligence
Segment 23: Visualizing Threat Data for Analytic and Executive Use
Segment 24: Identifying and Mitigating Bias in Threat Data
Segment 25: Reading - What Is OSINT (Open-Source Intelligence) in 2025?
Segment 26: Hands-On-Learning: From Collection to Confidence: Validating Threat Intelligence Under Uncertainty
Segment 27: Quiz - Collection and Processing Techniques