AAISM AI Risk Management Practice Question
You are managing risks for a federated learning deployment. What is the primary security concern regarding the 'model updates' sent from the edge clients to the aggregator?
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
✓
Gradient leakage leading to privacy loss.
In federated learning, local model updates can be analyzed to reconstruct private training data from the clients.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The aggregator becoming a single point of failure.
Why it's wrong here
Availability risk exists, but gradient leakage is a deeper privacy risk.
- ✓
Gradient leakage leading to privacy loss.
Why this is correct
Gradient leakage is the primary threat in federated learning architectures.
- ✗
Encryption of the communication channel.
Why it's wrong here
TLS handles encryption; the risk is the information contained in the updates.
- ✗
Slow network speeds at the edge.
Why it's wrong here
This is a performance issue, not a security risk.
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.