
GIAC Offensive AI Analyst
Domain 2Objective 1
Using AI for OSINT GOAA Practice Questions (Page 9)
Part of the AI-Driven Offensive Operations domain, which makes up ~40% of our current practice bank. GIAC (SANS) does not publish an official question count, but from its 120-minute exam (~50–80 total, ~20–32 in this domain), expect 5–8 from this objective — we provide 46 practice questions to prepare you well beyond it. (estimate)
46questions here
10free pages
7concepts
Questions 41–45
- 41
Which legal framework is most likely to affect the use of AI for OSINT on personal data of individuals in the European Union?
Select an answer first - 42
An OSINT analyst is investigating a network of fake social media accounts that appear to be coordinated. The analyst has collected account metadata, posting times, and content. The goal is to identify the most likely bot accounts while avoiding false positives on legitimate users who post frequently. Which approach balances accuracy and efficiency?
Select an answer first - 43
What is a key ethical consideration when using AI for OSINT in offensive operations?
Select an answer first - 44
A red team is planning a phishing campaign against a specific department. The team has collected public posts from employees in that department and wants to identify which employees are most likely to click on a malicious link. Which combination of AI techniques would best inform this decision?
Select an answer first - 45
After collecting OSINT data on a target, an analyst needs to produce a report that highlights the relationships between key individuals and their associated organizations. The report will be used by the offensive team to plan a vishing attack. Which visualization is most appropriate?
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