Vmware, Inc.

Omnissa, LLC

Aman Srivastava

Suman Aluvala

Amit Kumar Yadav

Arjun Kochhar

Disclosed are various examples for securing enterprise resources using a virtual private network. At least one computing device that can authenticate a client device for a virtual private network (VPN) connection based on a first device identifier received from the client device and a second device identifier received from a remote management service. The at least one computing device can determine that a network event associated with the client device has been observed and execute a machine learning routine to identify a pattern of access for the client device. A network access anomaly is determined in response to a network interaction of the client device deviating from the pattern of access for the client device. A remedial action is performed based on an anomaly type associated with the network access anomaly.

Dynamic variance mechanism for securing enterprise resources using a virtual private network

Disclosed are various examples for securing enterprise resources using a virtual private network. A client device can send a first unique device identifier for the client device to a remote management service upon enrollment. When a virtual private network application is first executed, the client device can send a second unique device identifier to the remote management service, where the remote management service is configured to store the second unique device identifier in association with the first unique universal identifier. During subsequent executions of the virtual private network application, the virtual private network service can authenticate the client device by comparing the first unique device identifier and the second unique device identifier to a device identifier received from the remote management service. A machine learning routine can be employed to identify anomalies as the virtual private network application is executed.

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Bengaluru, India

Aman Srivastava