Machine learning-based techniques for identifying deployment environments and enhancing security thereof
US11991210B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 26, 2020 |
| Grant date | May 21, 2024 |
| Priority date | — |
| Expiry date | May 25, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/034
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, apparatuses, and computer-readable storage mediums are described for machine learning-based techniques for identifying a deployment environment in which computing resources (e.g., servers, virtual machines, databases, etc.) reside and for enhancing security for the identified deployment environment. For instance, usage data is collected from the computing resources. The usage data is featurized and provided to a machine learning-based classification model that determines a deployment environment in which the computing resources reside based on the featurized usage data. Once the deployment environment is identified, a security policy that is applicable for the identified deployment environment is determined. The security policy specifies a plurality of recommended security settings that should be applied to the computing resources included in the identified deployment environment. The recommended security settings may be provided to the user (e.g., via a graphical user interface) for application thereby and/or may be automatically activated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.