Invention Application
- Patent Title: Anomaly Feedback Monitoring and Detection System
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Application No.: US16254193Application Date: 2019-01-22
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Publication No.: US20200233791A1Publication Date: 2020-07-23
- Inventor: Ignacio Agustin Manzano , Agustin Lopez Gabeiras , Leandro Damián Lück , Gaston Alberto Lodieu , Diego Gabriel Larralde , Jiang Wu , Andrew Craig Bragdon
- Applicant: salesforce.com, inc.
- Main IPC: G06F11/36
- IPC: G06F11/36

Abstract:
Disclosed herein are system, method, and computer program product embodiments for providing anomaly feedback monitoring and detection. An embodiment operates by determining a first set of data corresponding to an anomaly indicating an undesirable data state for a first application. A subset of data from a second set of data corresponding to the undesirable data state is identified, wherein the second set of data is associated with communications between the first application and a second application. A notification identifying the anomaly is provided. Feedback associated with the anomaly is received. Data corresponding to the anomaly is updated based on the feedback.
Public/Granted literature
- US11249889B2 Anomaly feedback monitoring and detection system Public/Granted day:2022-02-15
Information query