Zscaler, Inc.

Varun Singh

Jasbir Singh Kaushal

Priyanka Pani

Sichao Zhang

Muralidharan Manickam

Amit Sinha

Deepen Desai

Jay Chaudhry

Rubin Azad

Tiffany Bui

Sundar Rajkumar Jothimani

Alex Rozenberg

Shriyash Shete

Systems and methods are provided for calculating a security risk score. In one implementation, a method includes the step of analyzing a network to assess a license status of the network, where the license status is related to one or more security licenses procured for providing security protection to the network. The method also includes the step of analyzing the network to assess a configuration status of the network, where the configuration status is related to configurations settings of one or more security policies currently operating with respect to the network. Based on the assessed license status and configuration status, the method further includes the step of calculating a security risk score indicating a current level of risk that the network faces against threats, intrusions, cyber-attacks, breaches, and/or data loss.

Dynamic calculation of security risk score of network security services based on assessed license status and configuration status

Systems and methods for visualization monitoring data from a cloud-based system include obtaining the monitoring data, wherein the monitoring data is based on transactions associated with a plurality of users of the cloud-based system; providing a Graphical User Interface (GUI); obtaining a plurality of filter selections for a plurality of filter types; and displaying a visualization comprising a Sankey diagram of the monitoring data with nodes in the Sankey diagram including each of the plurality of filter types and links between the nodes indicative of the transactions in the monitoring data. The monitoring data can be for one or more of cloud security service transactions, application access via a Zero Trust Network Access (ZTNA) service, and user experience metrics.

Live log analysis for real-time data manipulation and visualization of a large data set

A mobile application notification system that includes a cloud node including a subscription service and a publication service, each executed on the cloud node, wherein the subscription service is configured to manage a plurality of users associated with a tenant of multiple tenants, each of the plurality of users have a corresponding user device that executes a monitoring application thereon, wherein management via the subscription service includes subscribing each of the plurality of users and configuring the tenant and associated messages, and wherein the publication service is configured to communicate with the corresponding user device of the plurality of users and to communication to a plurality of publisher threads, for exchanging messages therebetween, based on the subscribing and the configuring, and wherein at least two corresponding user device of the plurality of users utilize a different operating system and platform from one another.

Mobile application notification system for monitoring security posture and risk

Systems and methods include obtaining log data from a storage cluster associated with a cloud-based security system, wherein the log data includes transaction data associated with a plurality of users of the cloud-based security system, wherein the transaction data is for one or more of cloud security service transactions, application access via a Zero Trust Network Access (ZTNA) service, and user experience metrics, and wherein the cloud-based security system includes a plurality of tenants with the plurality of users each assigned thereto; analyzing the log data to determine a plurality of visualizations of the transaction data for a tenant; providing a User Interface (UI) to a mobile application with the plurality of visualizations; and providing a risk score summarizing an overall risk posture of the tenant in a single metric.

Systems and methods for monitoring and displaying security posture and risk

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Milpitas, CA, United States of America

Varun Singh