Which of the following is the GREATEST concern when a vendor enables generative AI features for an organization's critical system?
Answer(s): D
Access to the model is the greatest concern because enabling generative AI features in a critical system can introduce new pathways to sensitive data, internal logic, or privileged functions, significantly increasing the risk of misuse, unauthorized access, or unintended system behavior.
Which of the following is the GREATEST benefit of performing AI security risk assessments?
Answer(s): C
AI security risk assessments provide the greatest benefit by enabling informed risk prioritization decisions, allowing organizations to focus resources and controls on the most significant AI-related security threats.
Secure aggregation enhances the security of federated learning systems by:
Secure aggregation ensures that individual client model updates cannot be inspected in isolation, preserving the confidentiality of each participant’s contribution even if the central server is compromised, which is a core security requirement in federated learning systems.
Which of the following is the MOST effective defense against cyberattacks that alters input data to avoid detection by the model?
Answer(s): A
Adversarial training improves model robustness by exposing the model to manipulated inputs during training, enabling it to learn resilient decision boundaries and resist evasion attempts that alter input data to bypass detection.
When selecting an AI model for a life insurance organization to enhance fraud detection, which factor is MOST critical to ensure secure and reliable deployment?
Robustness is most critical because a fraud detection model must reliably withstand adversarial manipulation, data drift, and unexpected inputs while continuing to function securely and correctly in a high-risk, regulated life insurance environment.
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