CY0-001 · Question #29
An AI security team must assess the probability of an attack on its new system and the impact associated with such an attack. Which of the following threat-modeling resources best addresses the…
The correct answer is B. MITRE Adversarial Threat Landscape for AI Systems (ATLAS). MITRE ATLAS is specifically designed to capture adversarial tactics, techniques, and procedures (TTPs) targeting machine learning systems. It helps organizations assess both the probability and impact of AI/ML-related attacks, making it the most relevant threat-modeling resource.
Question
An AI security team must assess the probability of an attack on its new system and the impact associated with such an attack. Which of the following threat-modeling resources best addresses the threat landscape for machine learning (ML)?
Options
- ACommon Vulnerabilities and Exposures (CVE) AI working group
- BMITRE Adversarial Threat Landscape for AI Systems (ATLAS)
- CMassachusetts Institute of Technology (MIT) risk repository
- DOpen Worldwide Application Security Project (OWASP)
How the community answered
(18 responses)- A6% (1)
- B94% (17)
Explanation
MITRE ATLAS is specifically designed to capture adversarial tactics, techniques, and procedures (TTPs) targeting machine learning systems. It helps organizations assess both the probability and impact of AI/ML-related attacks, making it the most relevant threat-modeling resource.
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