The availability of large-scale data and computing power is making AI technologies transformational for organizations. The main challenge, however, is that AI introduces serious operational risks. Failures across the AI production pipeline, such as bugs in model serving, broken data pipelines, distributional drift, and adversarial inputs can lead to catastrophic errors when critical decisions are 
at stake.