An organization implemented an AI tool that initially blocked 95% of phishing emails, but its success rate dropped to 75% a few months later.Which of the following is the MOST likely cause of this performance decline?
Answer(s): C
Concept drift occurs when the characteristics of phishing emails evolve over time, causing the AI model trained on historical patterns to become less effective, which explains the observed decline in the system’s detection success rate.
Which of the following BEST enables a financial organization to ensure an AI model’s loan approval processes are accurate?
Answer(s): B
Human-in-the-loop review introduces oversight and judgment into AI-driven loan approvals, ensuring decisions are accurate, compliant, and aligned with policy objectives, while providing accountability and mitigating risks from model errors or biases.
During an AI review, an IS auditor identified that model testing data was used in an inappropriate format.Which of the following BEST addresses the situation?
Separation of data ensures that training, validation, and testing datasets are kept distinct and appropriately formatted, preventing contamination, preserving evaluation integrity, and providing reliable evidence of model performance.
Which of the following is the GREATEST benefit of incorporating AI incident management tools into an organization’s incident response?
AI incident management tools provide real-time analysis of behavior patterns and threat intelligence, enabling faster detection, prioritization, and response to security incidents, which enhances the organization’s ability to manage risks effectively and proactively.
An attacker modifies the training data for an AI model resulting in compromised predictions.Which of the following types of threats does this BEST represent?
Answer(s): D
Data poisoning occurs when malicious actors manipulate training data to intentionally degrade model performance or produce incorrect predictions, compromising the integrity and reliability of the AI system.
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