PMLE - Monitoring AI Solutions - Section 6.2

Monitor, test, and troubleshoot AI solutions using Model Monitoring on the Agent Platform for continuous evaluation, detecting common issues such as training-serving skew, data drift, concept drift, and feature attribution drift, and evaluating gen AI solutions.

Use Model Monitoring on the Agent Platform to continuously evaluate deployed models and detect training-serving skew, data drift, concept drift, and feature attribution drift before they degrade production quality. Apply structured evaluation methods for generative AI solutions, interpreting monitoring signals to decide when retraining or rollback is warranted.

Model MonitoringTraining-serving skewData and concept driftGen AI evaluation

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Identify and mitigate risks to AI solutions, building secure systems against data exfiltration, malicious prompting, and sensitive-data leakage using tools such as regular expressions, safety filters, and Model Armor, aligning with responsible AI practices including bias monitoring, and applying model explainability on the Agent Platform.Section 6.1

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