Amazon Cost Anomaly Detection reduces anomaly detection latency by up to 30%

Starting today, Amazon Cost Anomaly Detection will detect cost anomalies up to 30% faster. Customers can now identify and respond to spending changes more quickly. Cost Anomaly Detection leverages advanced machine learning to identify unusual changes in spend, enabling customers to quickly take action to avoid unexpected costs. 

With this new capability, Amazon Cost Anomaly Detection analyzes cost and usage data up to three times a day, instead of daily, to detect anomalies. This means customers can receive notifications, understand root causes, and take action on unexpected spend changes much faster to avoid unplanned spend and optimize cost.

The reduced anomaly detection latency applies automatically for all Amazon Cost Anomaly Detection customers in Amazon Web Services China (Ningxia) Region, operated by NWCD, and in Amazon Web Services China (Beijing) Region, operated by Sinnet. To learn more about Amazon Cost Anomaly Detection and how to reduce your risk of spend surprises, visit the Cost Anomaly Detection documentation.