Predicting cyber risk for assets with limited scan information using machine learning
US12335298B2 · kind B2 · utility
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32Claims
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Key dates
| Filing date | Oct 2, 2023 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Oct 2, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques, methods and/or apparatuses are disclosed that enable prediction of cyber risks of assets of networks. Through the disclosed techniques, a cyber risk prediction model, which may be a form of a machine learning model, may be trained to predict cyber risks. The cyber risk model may be provided to a cyber risk predictor two predict cyber risks of an asset, without the need to scan the asset at a very deep scan level.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.