AAISM AI Risk Management Practice Question
What is 'Model Stealing' as a risk?
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
✓
When an attacker extracts the model's parameters/weights.
Model stealing is the attempt to gain unauthorized access to the underlying weights of a model, often through side-channel attacks or memory scraping.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
When the model is used for a purpose other than intended.
Why it's wrong here
That is scope creep or misuse.
- ✗
When the training data is corrupted.
Why it's wrong here
That is poisoning.
- ✓
When an attacker extracts the model's parameters/weights.
Why this is correct
Model stealing is the exfiltration of the model itself.
- ✗
When a developer quits and takes the code.
Why it's wrong here
That is IP theft/insider threat.
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.