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AI Risk ManagementhardMultiple SelectObjective-mapped

AAISM AI Risk Management Practice Question

Which THREE components are critical for an 'AI Incident Response' plan?

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

Communication channels with data scientists and legal teams.

An AI IR plan must account for model-specific issues like unexpected performance drops, bias, and adversarial attacks.

Answer analysis

Option-by-option breakdown

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

  • Communication channels with data scientists and legal teams.

    Why this is correct

    Cooperation between technical and legal is required for AI incidents.

  • Requirements to publish all internal vulnerabilities publicly.

    Why it's wrong here

    Public disclosure is not required in an internal IR plan.

  • Procedures for model rollback or disablement.

    Why this is correct

    Ability to disable a failing model is critical for containment.

  • Identification of model-specific failure indicators.

    Why this is correct

    Knowing what a 'breach' looks like in AI is vital.

  • Automated deletion of all logs.

    Why it's wrong here

    Logs are essential for forensic investigation.

About these practice questions

One of 205 original AAISM practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. 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.