US 2026/0288560 A1 · REAL-TIME ANOMALY DETECTION

Abstract

In real-time streaming environments, continuous forecasting allows businesses to anticipate changes, optimize operations, and detect deviations as data flows in. Anomaly detection identifies unexpected deviations, helping improve data quality, detect operational issues instantly, and enable faster decision-making. Instead of waiting for batch processing, real-time anomaly detection continuously monitors data as it arrives, detecting outliers the moment they occur. Using a forecasting model, a prediction interval is determined for each element of received data. If the received data falls outside of the prediction interval, an alert may be generated. The real-time anomaly detection can be accessed via a Structured Query Language (SQL) interface. Thus, real-time anomaly detection can be integrated into a database that receives the data stream.

Claims20

Dependent claims

A system comprising:

one or more hardware processors;
and
one or more memories coupled to the one or more hardware processors, the one or more memories storing instructions that, when executed by the one or more hardware processors, cause the one or more hardware processors to perform operations comprising:
receiving, in a real-time streaming environment, a plurality of data entries, each data entry of the plurality of data entries comprising a timestamp and a data value;
determining, based on the plurality of data entries, a forecast value;
receiving, in the real-time streaming environment, a next data entry comprising a next data value;
determining, based on the forecast value, the next data value, and a predetermined threshold, that the next data value is anomalous;
and
based on the next data value being anomalous, generating an alert.

6 more elements

Dependencies are inferred from the claim text.

Real-time anomaly detection

Life of this patent

Real-time anomaly detection

Life of this patent

Abstract

Claims20