Systems and methods for optimizing a machine learning-informed automated decisioning workflow in a machine learning task-oriented digital threat mitigation platform
US11409629B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 1, 2022 |
| Grant date | Aug 9, 2022 |
| Priority date | — |
| Expiry date | Feb 1, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/86
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for adapting an errant automated decisioning workflow includes reconfiguring digital abuse or digital fraud logic parameters associated with automated decisioning routes of an automated decisioning workflow in response to identifying an anomalous drift or an anomalous shift in efficacy metrics of the automated decisioning workflow, wherein the automated decisioning workflow includes a plurality of distinct automated decisioning routes that, when applied in a digital threat evaluation of data associated with a target digital event, automatically compute a decision for disposing the target digital event based on a probability digital fraud; simulating, by computers, a performance of the automated decisioning routes in a reconfigured state based on inputs of historical digital event data; calculating simulation metrics based on simulation output data of the simulation; and promoting to an in-production state the automated decisioning workflow having the automated decisioning routes in the reconfigured state.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.