AAIR AI Lifecycle Risk Management Practice Question
Which THREE strategies are effective for mitigating 'Adversarial Risk' in an AI lifecycle?
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
✓
Rate limiting on API calls to prevent brute-force querying.
Input sanitization, rate limiting, and adversarial training are established security controls for AI.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Hiring more documentation staff.
Why it's wrong here
Does not address security risk.
- ✓
Rate limiting on API calls to prevent brute-force querying.
Why this is correct
Makes reconnaissance and model inversion harder.
- ✗
Using a more expensive cloud provider.
Why it's wrong here
Cost does not equal security.
- ✓
Adversarial training to harden the model against perturbed inputs.
Why this is correct
Directly improves the model's robustness to attacks.
- ✓
Input sanitization and validation on all model endpoints.
Why this is correct
Prevents injection of malicious input payloads.
About these practice questions
This AAIR question is part of Courseiva's 199-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 AAIR 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 AAIR exam.