Machine learning-based application posture for zero trust networking
US11411958B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 18, 2019 |
| Grant date | Aug 9, 2022 |
| Priority date | — |
| Expiry date | Mar 21, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/5003
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a gateway to a zero trust network applies an access control policy to an endpoint device attempting to access a cloud-based application hosted by the zero trust network. The gateway acts as a reverse proxy between the endpoint device and the cloud-based application, based on the access control policy applied to the endpoint device. The gateway captures telemetry data regarding application traffic reverse proxied by the gateway between the endpoint device and the cloud-based application. The gateway detects an anomalous behavior of the application traffic by comparing the captured telemetry data to a machine learning-based behavioral model for the application. The gateway initiates a mitigation action for the detected anomalous behavior of the application traffic.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.