
EC-CouncilCertified Offensive AI Security Professional
Domain 1Objective 3
AI System Hacking Methodologies, Frameworks, and Risk Implications COASP Practice Questions (Page 4)
Part of the Offensive AI Foundations and Hacking Methodology domain, which makes up ~18% of our current practice bank.
42questions here
9free pages
3concepts
Questions 16–20
- 16
A red team is using MITRE ATLAS to plan an attack on a company's AI-powered recommendation system. They need to choose a technique that will have the highest impact while minimizing the chance of detection. The team has access to the system's training data pipeline but not the model itself. Which technique should they prioritize?
Select an answer first - 17
A company's AI-powered recruitment tool is found to be biased against candidates from certain universities. An investigation reveals that an attacker manipulated the training data to include biased hiring decisions. What is the most appropriate immediate response to mitigate the business risk?
Select an answer first - 18
How does MITRE ATLAS relate to traditional hacking methodologies like the Cyber Kill Chain?
Select an answer first - 19
A bank uses an AI model to detect fraudulent transactions. An attacker successfully performs a model extraction attack, creating a copy of the model. Which ethical risk is MOST directly associated with this attack?
Select an answer first - 20
A security consultant is hired to assess an AI-based credit-scoring system. During the reconnaissance phase, the consultant discovers that the model's training data includes publicly available financial records and that the model is hosted behind an API that returns confidence scores. The consultant wants to map the attack surface systematically and identify which adversarial techniques are most relevant before conducting any active exploitation. Which approach best aligns with the AI system hacking methodology?
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