Systems and methods for machine-learning based digital threat assessment with integrated activity verification
US10897479B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 4, 2020 |
| Grant date | Jan 19, 2021 |
| Priority date | — |
| Expiry date | Sep 4, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/146
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A system and method for a machine learning-based score driven automated verification of a target event includes: receiving a threat verification request; extracting a corpus of threat features; predicting the machine learning-based threat score; evaluating the machine learning-based threat score against distinct stages of an automated disposal decisioning workflow; computing the activity disposal decision, wherein the activity disposal decision informs an action to allow or to disallow the target online activity; receiving the machine learning-based threat score as input into an automated verification workflow; computing whether an automated verification of the target online activity is required or not based on an evaluation of the machine learning-based threat score against distinct verification decisioning criteria of the automated verification workflow; automatically executing the automated verification of the target online activity and exposing results of the automated verification to the subscriber for allowing or for disallowing the target online activity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.