AI0-001 AI Security Practice Question
An AI system is designed to automatically execute actions on behalf of users, such as sending emails. The security team is concerned about excessive agency. Which mitigation is most effective?
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
✓
Restrict the functions the model can call and require human approval for sensitive actions
Limiting the scope of actions and requiring user confirmation for critical actions reduces the risk of the LLM performing unintended actions. This directly addresses excessive agency.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Disable output filtering
Why it's wrong here
Disabling output filtering would increase risk, not reduce it.
- ✗
Increase the model's context window
Why it's wrong here
Increasing context does not limit the model's ability to perform actions.
- ✓
Restrict the functions the model can call and require human approval for sensitive actions
Why this is correct
This limits the model's agency by restricting its action space and adding human oversight.
- ✗
Use a larger model
Why it's wrong here
Larger models may be more capable but also more likely to take unintended actions.
About these practice questions
Courseiva writes every AI0-001 question from scratch — 754 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.