Zscaler, Inc.

Arvind Nadendla

Subramanian Srinivasan

John A Chanak

Shudong Zhou

William Fehring

Rex Shang

Howie Xu

Dianhuan Lin

Alex-Marian Negrea

Raimi Shah

Constantin Miroslav

Loc Bui

Vivek Dhiman

Systems and methods include obtaining log data for a plurality of users of an enterprise where the log data relates to usage of a plurality of applications by the plurality of users; determining i) app-segments that are groupings of application of the plurality of applications and ii) user-groups that are groupings of users of the plurality of users; and providing access policy of the plurality of applications based on the user-groups and the app-segments. The steps can further include monitoring the access policy over time based on ongoing log data, manual verification of the access policy, and incidents where users are prevented from accessing any application; and adjusting the determined based on the monitoring.

Generating zero-trust policy for application access using machine learning

Systems and methods include, responsive to a request to access an application, wherein the application is in one of a public cloud, a private cloud, and an enterprise network, and wherein the user device is remote over the Internet, determining if a user of the user device is permitted to access the application and whether the application should be provided in an isolated browser; responsive to the determining, creating secure tunnels between the user device, an isolation service operating the isolated browser, and the application based on connection information; loading the application in the isolated browser, via the secure tunnels; and providing image content for the application to the user device, via the secure tunnels.

Private application access with browser isolation

Systems and methods for selectively exposing Application Programming Interfaces (APIs) dynamically and in a scalable manner include, when a new API is exposed in a microservice, making it accessible via a gateway if it is indicated to be exposed. The present disclosure focused on exposing a range of services behind the API gateway in a scalable, easy to use manner. The present disclosure includes an API gateway that supports a new microservice easily and efficiently as long as it provides metadata. The API gateway dynamically decides which APIs will be exposed via the gateway with filtering per service. Also, the API gateway routes any request made by a user to the gateway back to the intended microservice in a transparent fashion, as well as performing any additional transformations of the request before sending it back to the microservice.

Selectively exposing application programming interfaces dynamically for microservices

Systems and methods for limiting calls to access a cloud-based system are disclosed. The systems and methods obtain a rate limiting policy including at least one attribute and a counting interval, the at least one attribute including at least one of a username associated with a client, an instance, an organization associated with the client, a resource being requested, a service being requested, a geographical access region, and an Application Programming Interface (API) being requested. The systems and methods also mark an entry, based on the rate limiting policy, in a database for each call the client makes. The systems and methods further enforce the rate liming policy by not processing calls from the client associated with the at least one attribute that are made for a count of calls marked that is beyond the counting interval.

Method and apparatus for entity-based resource protection for a cloud-based system

Growing community of inventors

San Jose, CA, United States of America

Arvind Nadendla