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GIAC GCTI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Intelligence Analysis Techniques | 20% | - Pattern recognition and anomaly detection - Attribution methodologies and limitations - Campaign identification and tracking - Link analysis and pivoting - Malware analysis and intelligence extraction - Cognitive biases and analytical tradecraft |
| Topic 2: Advanced Topics and Tradecraft | 15% | - Threat actor profiling and behavior analysis - Legal, ethical, and privacy considerations - Counter-intelligence concepts |
| Topic 3: Intelligence Application and Reporting | 15% | - Integrating intelligence into security operations - Threat hunting and incident response support - Audience-specific reporting - Actionable intelligence production |
| Topic 4: Analytic Frameworks and Models | 20% | - Courses of Action Matrix - MITRE ATT&CK Framework - Analysis of Competing Hypotheses (ACH) - Diamond Model of Intrusion Analysis - Cyber Kill Chain |
| Topic 5: Data Collection and Management | 15% | - Open Source Intelligence (OSINT) - Threat feeds and third-party data - Technical data sources: logs, network traffic, artifacts - Data storage, normalization, and sharing |
| Topic 6: Intelligence Fundamentals | 15% | - Data sources and collection technologies - Intelligence lifecycle - Intelligence types: strategic, operational, tactical - Core definitions and concepts |
GIAC Cyber Threat Intelligence Sample Questions:
Question 1
During the __________ phase of the Cyber Kill Chain, the adversary exploits a vulnerability to execute code on the victim's system.
Response:
A. Installation
B. Reconnaissance
C. Exploitation
D. Delivery
Question 2
How can intelligence from past cyber attacks inform current cyber defense strategies?
Response:
A. By increasing the speed of system patching
B. By simplifying network architecture
C. By predicting future attack vectors and improving incident response plans
D. By reducing the complexity of security tools
Question 3
In the context of cyber intelligence, what practices help in enhancing data analysis?
Response:
A. Data normalization
B. Cross-referencing multiple data sources
C. Implementation of AI algorithms
D. Physical security enhancements
E. Regular software updates
Question 4
How can cyber intelligence professionals apply lessons learned from previous cyber attacks?
Response:
A. By educating employees on cybersecurity best practices
B. By developing better encryption methods
C. By enhancing threat modeling techniques
D. By improving physical security measures
E. By updating incident response protocols
Question 5
How can intelligence analysts avoid the impact of personal biases on their analysis?
Response:
A. By collaborating with a diverse team of analysts
B. By focusing only on quantitative data
C. By relying solely on automated tools
D. By ignoring outlier information
Solutions:
| Question 1 Answer: C | Question 2 Answer: C | Question 3 Answer: A,B,C | Question 4 Answer: A,C,E | Question 5 Answer: A |






