Enterprise cybersecurity AI platform
US12413608B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 10, 2022 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Feb 15, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F21/552
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes obtaining data associated with operation of a monitored system. The method also includes using one or more first machine learning models to identify anomalies in the monitored system based on the obtained data, where each anomaly identifies an anomalous behavior. The method further includes using one or more second machine learning models to classify each of at least some of the identified anomalies into one of multiple classifications. Different ones of the classifications are associated with different types of cyberthreats to the monitored system, and the identified anomalies are classified based on risk scores determined using the one or more second machine learning models. In addition, the method includes identifying, for each of at least some of the anomalies, one or more actions to be performed in order to counteract the cyberthreat associated with the anomaly.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.