AAISM AI Risk Management Practice Question
What is the key risk difference between 'Data Privacy' and 'Model Security' in AI?
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
✓
Data privacy is about PII protection; model security is about system integrity.
Data privacy focuses on the protection of the information used in models (PII), while model security focuses on the integrity/availability of the model logic.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Data privacy is only for training data, not inference data.
Why it's wrong here
Privacy applies to all data handling.
- ✓
Data privacy is about PII protection; model security is about system integrity.
Why this is correct
This is the correct distinction between the two domains.
- ✗
There is no difference.
Why it's wrong here
They are distinct risk domains.
- ✗
Model security is only about physical hardware.
Why it's wrong here
Model security is about the software and logic too.
About these practice questions
One of 205 original AAISM practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. 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.