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AI Risk ManagementmediumMultiple ChoiceObjective-mapped

AAISM AI Risk Management Practice Question

When utilizing a third-party AI vendor, which contractual requirement is most critical for addressing 'shadow AI' risks within an enterprise?

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

A clause requiring the vendor to disclose all sub-processors.

Standardized procurement processes and inventory tracking (shadow AI) require clear vendor auditing and accountability clauses.

Answer analysis

Option-by-option breakdown

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

  • A mandate to use the vendor's cloud region exclusively.

    Why it's wrong here

    Cloud region usage is a data residency concern, not a shadow AI control.

  • A request for a free trial period.

    Why it's wrong here

    This is a commercial term, not a risk mitigation control.

  • A requirement for 99.99% uptime SLA.

    Why it's wrong here

    Uptime is an availability metric, not a risk/shadow AI control.

  • A clause requiring the vendor to disclose all sub-processors.

    Why this is correct

    Understanding the supply chain is vital for managing third-party AI risk and shadow deployment.

About these practice questions

Courseiva writes every AAISM question from scratch — 205 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 →

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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.