Help Center/ Cost Center/ User Guide/ Cost Anomaly Detection/ Overview
Updated on 2025-05-28 GMT+08:00
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Overview

What Is Cost Anomaly Detection?

Cost Anomaly Detection uses machine learning to analyze your historical pay-per-use and yearly/monthly expenditures, establish a specific expenditure model for you, and identify root causes for cost surprises based on forecasted amounts. With simple steps, Cost Anomaly Detection helps you quickly take action based on detected cost anomalies to maintain your planned expenditures.

Cost Anomaly Detection is a free function. Before using it, you must understand and agree that it uses algorithms to identify potential cost anomalies in monitored objects. Detection Rules

Cost forecasts are estimates and may not be entirely accurate or stable. As a result, detection may be inaccurate or incomplete, and alert notifications may not always be timely. This function is not accountable for the underlying causes of anomalies or any associated losses.

Cost Anomaly Detection is free of charge. Before using this function, you must acknowledge and agree to the following:

  • Cost Anomaly Detection uses algorithms to forecast your costs based on your consumption model. The forecast is for reference only and may not be entirely accurate.
  • Cost Anomaly Detection does not operate in real time. If cost anomalies occur on the current day and meet the detection rules, they will be recorded in the afternoon of the following day.
  • Cost Anomaly Detection identifies cost anomalies but does not take any action on your resources. It is not accountable for the underlying causes of anomalies or any associated losses.
Parent topic: Cost Anomaly Detection