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AAISM AI Technologies And Controls Practice Question

When securing a large language model (LLM) using the OWASP Top 10 for LLMs, which control is most effective against 'Insecure Output Handling'?

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

Enforcing strict output validation and sanitization

Insecure Output Handling occurs when a model output is interpreted by a downstream system without sanitization. Output validation (canonicalization) is the primary defense.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Using fine-grained RBAC

    Why it's wrong here

    RBAC manages who accesses the model, not what the model outputs.

  • Implementing Rate Limiting

    Why it's wrong here

    Rate limiting prevents DoS, not output injection.

  • Encrypting training data

    Why it's wrong here

    Encryption protects data at rest, not output handling.

  • Enforcing strict output validation and sanitization

    Why this is correct

    Sanitizing model output before downstream execution prevents cross-site scripting or code injection.

About these practice questions

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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.