AAISM AI Risk Management Practice Question
Which TWO of the following are primary risks associated with 'membership inference attacks' against an AI model?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Exposure of sensitive information about training data subjects.
Membership inference attacks aim to determine if a specific data point was used in the training set, risking privacy leakage.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Exposure of sensitive information about training data subjects.
Why this is correct
Privacy leakage is the core consequence of membership inference.
- ✓
Violation of regulatory requirements like GDPR/HIPAA.
Why this is correct
Determining if an individual's record was used in training violates privacy rights.
- ✗
Unauthorized modification of model weights.
Why it's wrong here
This is a poisoning attack, not an inference attack.
- ✗
Unauthorized access to the model training algorithm.
Why it's wrong here
Algorithm access is usually not the goal of membership inference.
- ✗
Complete system shutdown via resource exhaustion.
Why it's wrong here
This is a DoS attack, not a privacy attack.
About these practice questions
This AAISM question is part of Courseiva's 205-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official ISACA exam blueprint
This AAISM practice question is part of Courseiva's free ISACA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AAISM exam.