Free AAISM sample questions
Real questions from the Advanced in AI Security Management practice bank, with the correct answer and an explanation for each one. No junk, no filler.
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An organization is adopting the NIST AI Risk Management Framework (AI RMF) to govern its generative AI deployments. During the 'Map' function, the team is struggling to identify potential downstream impacts. Which of the following activities is MOST critical during this phase to ensure comprehensive context establishment?
You are designing a secure architecture for a healthcare AI model that processes highly sensitive patient data. To minimize privacy risks during the training phase without exposing raw data to the central server, you decide to implement Federated Learning. Review the diagram below representing the proposed flow. What critical security control is missing from the aggregation step (Server) to prevent the reconstruction of individual user data from gradient updates?
A retail company is updating its Acceptable Use Policy (AUP) to address the use of public Generative AI tools by employees. Which of the following provisions is MOST critical to include to prevent data leakage while maintaining productivity?
Which of the following activities are considered 'High Risk' under the EU AI Act and would require the most stringent conformity assessments? (Select TWO)
A security analyst discovers that a deployed image recognition model has been misclassifying images that contain a specific, imperceptible pattern of noise overlay. This pattern appears to have been intentionally crafted. This is an example of which type of adversarial attack?
The ___________ is a document that provides a high-level description of the AI model, including its intended use, limitations, training data provenance, and performance metrics, serving as a key transparency control.
When integrating a third-party AI model into a critical business process, which of the following is the MOST effective method to mitigate supply chain risks related to hidden backdoors or malicious code in the model artifacts?
True or False: In the context of AI security, 'Explainability' (XAI) is purely an ethical requirement and has no impact on security incident investigation.
An organization uses a Large Language Model (LLM) to summarize customer support tickets. Security testing reveals that by crafting a specific prompt, an attacker can force the model to ignore its safety guidelines and reveal its initial system instructions. What is this vulnerability called?
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