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GIAC Offensive AI Analyst

Domain 2Objective 1

Using AI for OSINT GOAA Practice Questions (Page 7)

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 31–35

  1. 31expert · hard

    A security team is tasked with monitoring a target's public presence for early signs of a planned cyber attack. The team has limited compute resources and needs to process a high volume of social media posts, news articles, and forum threads in near real-time. Which approach is most efficient?

    Select an answer first
  2. 32expert · hard

    An offensive team has collected a large OSINT dataset and needs to generate a report for a client that is non-technical. The report must clearly show the target's key relationships, recent activities, and potential vulnerabilities, while also being easy to update as new data arrives. Which approach is best?

    Select an answer first
  3. 33foundation · easy

    In the context of AI-driven offensive operations, what is the primary definition of open-source intelligence (OSINT)?

    Select an answer first
  4. 34foundation · easy

    How can AI-powered visualization tools aid in offensive planning?

    Select an answer first
  5. 35expert · hard

    An analyst is using AI to analyze OSINT data to identify potential insider threats. The analyst has collected data from employee social media, forum posts, and public corporate announcements. The goal is to find employees who may be disgruntled or planning to leave. Which combination of AI techniques is most effective?

    Select an answer first
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