Learned Execution Graphs for Anomaly Detection & Drift in APIs — Ritvik Pandya, JP Morgan Chase
By modeling API requests as short-lived execution graphs (DAGs), we can detect silent skips, reorders, or performance deviations at a single node, cutting root cause analysis from hours to under 30 seconds.
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