QuestionQ67

AI Life Cycle Risk Management

What is the MOST important benefit of deploying continuous monitoring and automated anomaly detection for AI models in production?

Explanation

Continuous monitoring and anomaly detection provide timely visibility into abnormal activity in deployed AI systems, enabling detection and response to adversarial intrusions and unauthorized changes to model parameters. NIST identifies post-deployment monitoring as crucial for tracking unforeseen behavior and monitoring potential vulnerability to adversarial attacks and misuse.

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