- A
Deploy monitoring for anomalous input patterns
Why wrong: Monitoring detects attacks but does not prevent the model from performing excessive actions; it is a detective control, not a preventative one.
- B
Require human-in-the-loop approval for code execution and write operations
Human approval for high-risk actions prevents the model from autonomously performing destructive or unauthorized operations.
- C
Use least-privilege API tokens for external tool access
Least-privilege tokens ensure the model can only perform actions necessary for its function, limiting the potential damage of an unintended action.
- D
Implement input validation and sanitization to prevent prompt injection
Input validation and sanitization reduce the risk of attackers injecting instructions that cause the model to take unintended actions, which can lead to excessive agency.
- E
Apply output filtering to block sensitive data in responses
Why wrong: Output filtering prevents data leakage but does not directly mitigate the risk of the model taking unauthorized actions (excessive agency).
AI0-001 AI Security Practice Question
This AI0-001 practice question tests your understanding of ai security. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A large enterprise is developing an internal LLM-powered assistant that can access the internet and execute code. To mitigate risks from excessive agency (e.g., the model performing unauthorized actions), which THREE security measures should be implemented?
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
Require human-in-the-loop approval for code execution and write operations
Option B is correct because requiring human-in-the-loop approval for code execution and write operations directly enforces a control over the model's agency, preventing it from performing unauthorized actions such as modifying files or executing arbitrary commands. This measure ensures that any action with side effects is vetted by a human operator, mitigating the risk of excessive agency where the LLM could autonomously cause harm.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Deploy monitoring for anomalous input patterns
Why it's wrong here
Monitoring detects attacks but does not prevent the model from performing excessive actions; it is a detective control, not a preventative one.
- ✓
Require human-in-the-loop approval for code execution and write operations
Why this is correct
Human approval for high-risk actions prevents the model from autonomously performing destructive or unauthorized operations.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Use least-privilege API tokens for external tool access
Why this is correct
Least-privilege tokens ensure the model can only perform actions necessary for its function, limiting the potential damage of an unintended action.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Implement input validation and sanitization to prevent prompt injection
Why this is correct
Input validation and sanitization reduce the risk of attackers injecting instructions that cause the model to take unintended actions, which can lead to excessive agency.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Apply output filtering to block sensitive data in responses
Why it's wrong here
Output filtering prevents data leakage but does not directly mitigate the risk of the model taking unauthorized actions (excessive agency).
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between detection controls (like monitoring) and prevention controls (like human approval), leading candidates to select monitoring as a security measure for excessive agency when it only provides visibility, not restriction.
Trap categories for this question
Command / output trap
Output filtering prevents data leakage but does not directly mitigate the risk of the model taking unauthorized actions (excessive agency).
Detailed technical explanation
How to think about this question
Excessive agency in LLM assistants arises when the model has unrestricted access to tools like code interpreters or internet APIs, allowing it to chain actions without oversight. Implementing least-privilege API tokens (Option C) restricts the scope of actions each tool can perform, while human-in-the-loop approval (Option B) adds a mandatory authorization step for high-risk operations, together forming a defense-in-depth strategy. In practice, this is analogous to enforcing role-based access control (RBAC) with a break-glass mechanism for critical actions.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A junior network technician can log in to a core router but cannot reach the enable prompt or configuration mode. The AAA server is authenticating the login — but the authorisation policy only grants privilege level 1, not 15. Authentication (who you are) is working; authorisation (what you can do) is not.
What to study next
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FAQ
Questions learners often ask
What does this AI0-001 question test?
AI Security — This question tests AI Security — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Require human-in-the-loop approval for code execution and write operations — Option B is correct because requiring human-in-the-loop approval for code execution and write operations directly enforces a control over the model's agency, preventing it from performing unauthorized actions such as modifying files or executing arbitrary commands. This measure ensures that any action with side effects is vetted by a human operator, mitigating the risk of excessive agency where the LLM could autonomously cause harm.
What should I do if I get this AI0-001 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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.
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