Argyle Data uses Hadoop and machine learning to help mobile operators fight the $46 billion mobile fraud problem. Argyle Data’s system is used by some of the world’s largest mobile operators to gain real-time visibility into revenue threats and attack patterns. On average, such attacks cost the mobile communications industry 2% of revenue, or an estimated $46 billion a year. Argyle Data provides a real-time revenue threat analytics application built natively on Hadoop using the latest machine learning and anomaly detection technology to identify fraud at scale. This enables operators to detect previously undiscoverable fraud in minutes rather than hours or days, discover both new and old fraud attack patterns, and dramatically reduce false positives, saving millions of dollars. Argyle Data currently offers native Hadoop applications for fraud threat analytics, profit threat analytics, SLA threat analytics, and forensic threat analytics.