
GIAC AI Security Automation Engineer
Domain 3Objective 2
Adversary Emulation Fundamentals GASAE Practice Questions (Page 6)
Part of the AI and Adversary Emulation domain, which makes up ~19% of our current practice bank. GIAC (SANS) does not publish an official question count, but from its 180-minute exam (~70–120 total, ~13–23 in this domain), expect 7–12 from this objective — we provide 49 practice questions to prepare you well beyond it. (estimate)
49questions here
10free pages
7concepts
Questions 26–30
- 26
Which element is most important to include in a final report of an adversary emulation engagement?
Select an answer first - 27
A company's threat intelligence team has published a report on a ransomware group that uses spear-phishing with malicious LNK files, then uses living-off-the-land binaries for discovery, and finally deploys ransomware via scheduled tasks. The security operations team wants to run an emulation to test their endpoint detection and response (EDR) coverage. They have a limited maintenance window and cannot disrupt production. Which plan best aligns with the threat report?
Select an answer first - 28
A threat intelligence report provides a list of indicators of compromise (IOCs) for a specific adversary, including file hashes, domains, and IP addresses. The emulation team wants to validate whether their detections can identify the adversary's behavior, not just the IOCs. What is the most effective approach?
Select an answer first - 29
After an emulation engagement, the team finds that the SOC detected only 2 out of 10 emulated techniques. The SOC argues that the missed techniques are not relevant because they are not used by real adversaries in their industry. The emulation team has threat intelligence showing that those techniques are indeed used by a group targeting similar companies. What is the best way to resolve this conflict?
Select an answer first - 30
An intelligence report describes an adversary that uses a multi-stage attack: initial access via a phishing email, then PowerShell to download a payload, then WMI for lateral movement, and finally scheduled tasks for persistence. The emulation team needs to create a playbook that can be reused and shared. What is the best way to structure the playbook?
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