Invention Grant
- Patent Title: Machine learning-based application posture for zero trust networking
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Application No.: US16251654Application Date: 2019-01-18
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Publication No.: US11411958B2Publication Date: 2022-08-09
- Inventor: Gangadharan Byju Pularikkal , Santosh Ramrao Patil , Bart Brinckman , Madhusudan Nanjanagud
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Behmke Innovation Group LLP
- Agent Kenneth J. Heywood; Jonathon P. Western
- Main IPC: H04L9/40
- IPC: H04L9/40 ; H04L43/062 ; G06N20/00

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.
Public/Granted literature
- US20200236112A1 MACHINE LEARNING-BASED APPLICATION POSTURE FOR ZERO TRUST NETWORKING Public/Granted day:2020-07-23
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