Malwarebytes Corporation

Vijay Arumugam Velayutham

Sunil Mathew Thomas

Mark William Patton

Adam Hyder

Ravi Kalyan Namballa

Motil Jayakar

Braydon Michael Davis

Ragesh Damodaran

Manikandan Vellore Muneeswaran

Matthew English

Darren Kazuo Chinen

A security server assigns users sessions to a provider that provides virtual private networks. The security server trains a machine-learned model to identify a provider from a set of providers. The security server obtains connection parameters associated with a requested VPN connection. Connection parameters comprise a location of a computing device that requested the VPN connection, a time of the requested VPN connection, a current and/or historical state of VPN performance data, and user preferences. The security server applies the machine-learned model to the connection parameters to identify a provider. The security server provisions a user session based on the provider and establishes a connection through the provider.

Learning system for virtual private network orchestration, anonymization and quality of service

A security server tracks malicious objects detected by malware detection applications that scan for malicious objects on clients. The security server also receives client information from the clients indicating client states. The client state describes one or more protection applications executing on the client that seek to identify and prevent malicious objects from taking malicious actions based on real-time monitoring. Thus, the security server may identify when the protection application fails to detect a malicious object. In addition, the security server maps detection events of malicious objects with corresponding client states to generate aggregate detection information for a population of clients. Analytical data can be derived from the aggregate detection information to identify trends useful for evaluating different types of protection applications. Furthermore, the security server may initiate automated actions based on the identified trends to improve detection and remediation of the malicious objects on the clients.

Generating analytical data from detection events of malicious objects

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San Jose, CA, United States of America

Vijay Arumugam Velayutham