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AI Technologies And ControlshardMultiple SelectObjective-mapped

AAISM AI Technologies And Controls Practice Question

Which TWO techniques are effective for detecting and mitigating 'Model Inversion' attacks where an adversary attempts to reconstruct training data from model outputs?

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 and monitoring query frequency

Model inversion is mitigated by reducing the information content of model outputs and limiting query volume.

Answer analysis

Option-by-option breakdown

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

  • Rate limiting and monitoring query frequency

    Why this is correct

    Prevents attackers from gathering sufficient output samples.

  • Disabling all model API documentation

    Why it's wrong here

    Obscurity is not a valid security control.

  • Increasing the precision of model output scores

    Why it's wrong here

    Higher precision makes it easier to reconstruct sensitive data.

  • Implementing differential privacy during training

    Why this is correct

    Adds noise to the learning process, limiting information leakage.

  • Using larger batch sizes during inference

    Why it's wrong here

    Batch size does not mitigate inversion risk.

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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 →

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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.