Invention Grant
- Patent Title: Anomaly feedback monitoring and detection system
-
Application No.: US16254193Application Date: 2019-01-22
-
Publication No.: US11249889B2Publication Date: 2022-02-15
- 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.
- Applicant Address: US CA San Francisco
- Assignee: salesforce.com, inc.
- Current Assignee: salesforce.com, inc.
- Current Assignee Address: US CA San Francisco
- Agency: Sterne, Kessler, Goldstein & Fox P.L.L.C.
- Main IPC: G06F11/00
- IPC: G06F11/00 ; 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
- US20200233791A1 Anomaly Feedback Monitoring and Detection System Public/Granted day:2020-07-23
Information query