20+ practice questions focused on AI Risk Management — one of the most tested topics on the ISACA Advanced in AI Security Management (AAISM) (AAISM) exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start AI Risk Management PracticeWhen utilizing a third-party AI vendor, which contractual requirement is most critical for addressing 'shadow AI' risks within an enterprise?
Explanation: Shadow AI refers to the unsanctioned use of AI tools within an enterprise. To address this, a clause requiring the vendor to disclose all sub-processors is critical because it ensures visibility into the entire AI supply chain, including any third parties that might handle data. This helps identify and mitigate risks from unauthorized data processing.
An organization is performing threat modeling for a RAG (Retrieval-Augmented Generation) pipeline. Which specific vulnerability is unique to the retrieval component?
Explanation: The retrieval component of a RAG pipeline depends on an external document index (vector store or knowledge base) that is queried at inference time. Because that index is populated from ingested documents, an attacker who can inject or tamper with those documents can poison the retrieval corpus, causing the LLM to ground its answers in malicious or false content. This 'database poisoning' (indirect prompt injection via the knowledge base) is a threat vector that exists only because of the retrieval step, not in a standalone LLM.
A model is vulnerable to 'Evasion Attacks' using FGSM (Fast Gradient Sign Method). Which architectural change most effectively increases robustness?
Explanation: Defensive distillation trains a student model on the softened probability outputs of a teacher model, smoothing the decision surface and reducing the gradient information an attacker can exploit in FGSM. This makes it harder to compute effective adversarial perturbations, increasing robustness against evasion attacks.
An attacker is performing a 'Model Extraction' attack. What is the most likely goal of the attacker?
Explanation: A Model Extraction attack aims to steal the intellectual property of a machine learning model by querying it and using the responses to train a replica model. The attacker's primary goal is to obtain a functionally equivalent model without access to the original training data or architecture, thereby stealing the model's proprietary knowledge.
An organization is building its AI risk register and wants to ensure that each identified risk is assigned an owner, a likelihood and impact rating, and a documented treatment decision. Which risk management principle does this practice MOST directly reflect?
Explanation: A risk register with owners, likelihood and impact ratings, and documented treatment decisions is the operational expression of risk appetite and tolerance. It ensures that risks are evaluated consistently, that accountability is explicit, and that treatment choices such as mitigate, transfer, avoid, or accept are made deliberately at the right level of authority. This is a foundational expectation of any AI risk management framework.
+15 more AI Risk Management questions available
Practice all AI Risk Management questions1. Baseline your knowledge
Start with 10 questions to gauge your current understanding of AI Risk Management. This tells you whether you need a concept refresher or just practice.
2. Review every explanation
For each question — right or wrong — read the full explanation. Understanding why an answer is correct is more valuable than knowing the answer itself.
3. Focus on exam traps
AI Risk Management questions on the AAISM frequently use trap wording. Look for subtle differences in answers that test your precision, not just general knowledge.
4. Reach 80% consistently
Do repeated sessions until you score 80%+ three times in a row. Then move to mixed-mode practice to test cross-topic recall under realistic conditions.
The exact number varies per candidate. AI Risk Management is tested as part of the ISACA Advanced in AI Security Management (AAISM) (AAISM) blueprint. Practicing with targeted AI Risk Management questions ensures you can handle any format or difficulty that appears.
Yes. Courseiva provides free AAISM practice questions across all exam topics and domains. The platform includes topic-based practice, mock exams, missed-question review, bookmarked questions, and readiness tracking — no account required.
Difficulty is subjective, but AI Risk Management is a high-priority exam concept tested in multiple ways — direct recall, scenario analysis, and command-output interpretation. Consistent practice is the best way to build confidence.
Launch a full AI Risk Management practice session with instant scoring and detailed explanations.
Start AI Risk Management Practice →