AAISM Question #40: Real Exam Question with Answer & Explanation

The correct answer is B: Updating deployed training data with new adversarial data. When an AI system experiences an attack after being in production for an extended period, the most effective mitigation strategy is to update the deployed training data with new adversarial data. This process strengthens the model's resilience by retraining it to recognize and re

AI Security Assurance and Resilience

Question

An attack has occurred on an AI system that has been in use for two years. Which of the following would BEST mitigate the impact of the attack?

Options

AMonitoring AI systems for suspicious activities
BUpdating deployed training data with new adversarial data
CReplacing the AI model with a new model that hides confidence levels
DImplementing strict access controls to the model's architecture

Explanation

When an AI system experiences an attack after being in production for an extended period, the most effective mitigation strategy is to update the deployed training data with new adversarial data. This process strengthens the model's resilience by retraining it to recognize and resist attack vectors that were previously unknown or unaccounted for. According to the AI Security ManagementTM (AAISM) framework, risk mitigation for AI systems must address model robustness through adversarial retraining, data quality improvement, and model lifecycle hardening rather than relying solely on reactive measures.

Topics

#AI Model Robustness#Adversarial Training#Post-Attack Mitigation#AI System Resilience

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