Systems and methods for anomaly detection in automated workflow event decisions in a machine learning-based digital threat mitigation platform
US11037173B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 2, 2020 |
| Grant date | Jun 15, 2021 |
| Priority date | — |
| Expiry date | Dec 2, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/0631
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for automated anomaly detection in automated disposal decisions of an automated decisioning workflow includes collecting a time-series of automated disposal decision data for a current period from an automated decisioning workflow, wherein the automated decisioning workflow computes one of a plurality of distinct disposal decisions for each distinct input comprising subject online event data and a machine learning-based threat score computed for the subject online event data; selecting an anomaly detection algorithm from a plurality of distinct anomaly detection algorithms based on a type of online abuse or online fraud that the automated decisioning workflow is configured to evaluate; evaluating, using the selected anomaly detection algorithm, the time-series of automated decision data for the current period; computing whether anomalies exist in the time-series of automated disposal decision data for the current period based on the evaluation; and generating an anomaly alert based on the computation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.