Training an artificial intelligence engine for real-time monitoring to eliminate false positives
US12056231B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 29, 2022 |
| Grant date | Aug 6, 2024 |
| Priority date | — |
| Expiry date | Mar 16, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/2117
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for training an artificial intelligence engine for real-time monitoring to eliminate false positives is disclosed. The system includes at least one processor, a communication interface coupled to the processor, and a memory device storing executable code. Executing the executable code causes the processor to receive data from an AI security model, receive data from a false positive database, and correlate both sets of data. The correlated data is used to generate a training dataset and a test dataset used to train a false positive identification model. After evaluating the false positive identification model, an AI engine is applied to user registration. The AI engine includes an AI security model and the false positive identification model. Additionally, a system for evaluating the security of user registration utilizing the false positive identification model is disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.