Systems and methods for predictive analysis of potential attack patterns based on contextual security information
US12166785B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 28, 2021 |
| Grant date | Dec 10, 2024 |
| Priority date | — |
| Expiry date | Apr 21, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/20
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Systems and methods for predictive analysis of potential attack patterns based on contextual security information are described. In one embodiment, a method includes generating a profile for an enterprise that indicates one or more software application stacks and a network architecture for the one or more software application stacks; determining one or more vulnerabilities of the one or more software application stacks and one or more vulnerabilities of the network architecture; providing the one or more vulnerabilities of the one or more software application stacks, the one or more vulnerabilities of the network architecture, and the profile as input to a machine learning model; generating an inference by the machine learning model that indicates one or more attack paths for an attacker in the one or more software application stacks and the network architecture; and transmitting the inference to a storage location or a security software application.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.