From Dugouts to Data Lakes: Applying Moneyball to the AI SOC

Arctic Wolf describes an engineering-driven approach to AI-powered security operations, arguing that effective SOC automation requires continuous measurement, calibrated human-in-the-loop decisions, and transparent reasoning. Using a "Moneyball" analogy, the piece highlights their Databricks-backed evaluation infrastructure that processes 10 trillion events weekly, captures confidence scores and reasoning chains, benchmarks AI against expert analysts, detects drift, and determines when escalation to humans measurably improves security outcomes; the goal is provable, auditable augmentation rather than blind automation. Authors: Michael Mylrea, Dan Schiappa, and Ari Kaplan.