Abstract: A system generates network perimeter for an organization based on the connection data. The system builds a model, for example, a machine learning based model configured to receive a network zone as input and output a score indicating security of the network zone. The system receives information describing connection requests received from client devices associated with the organization. The system adjusts parameters of the machine learning based model based on information describing the connection requests. The adjusting of the machine learning based model improves the accuracy of prediction based on the information describing the connection requests. The system determines a network perimeter for the organization using the machine learning based model. The network perimeter may be used for implementing a network policy for the organization based on the determined network perimeter.

Abstract: A system generates network perimeter for an organization based on the connection data. The system builds a model, for example, a machine learning based model configured to receive a network zone as input and output a score indicating security of the network zone. The system receives information describing connection requests received from client devices associated with the organization. The system adjusts parameters of the machine learning based model based on information describing the connection requests. The adjusting of the machine learning based model improves the accuracy of prediction based on the information describing the connection requests. The system determines a network perimeter for the organization using the machine learning based model. The network perimeter may be used for implementing a network policy for the organization based on the determined network perimeter.

Abstract: A system generates network perimeter for an organization based on the connection data. The system builds a model, for example, a machine learning based model configured to receive a network zone as input and output a score indicating security of the network zone. The system receives information describing connection requests received from client devices associated with the organization. The system adjusts parameters of the machine learning based model based on information describing the connection requests. The adjusting of the machine learning based model improves the accuracy of prediction based on the information describing the connection requests. The system determines a network perimeter for the organization using the machine learning based model. The network perimeter may be used for implementing a network policy for the organization based on the determined network perimeter.

Abstract: A system generates network perimeter for an organization based on the connection data. The system builds a model, for example, a machine learning based model configured to receive a network zone as input and output a score indicating security of the network zone. The system receives information describing connection requests received from client devices associated with the organization. The system adjusts parameters of the machine learning based model based on information describing the connection requests. The adjusting of the machine learning based model improves the accuracy of prediction based on the information describing the connection requests. The system determines a network perimeter for the organization using the machine learning based model. The network perimeter may be used for implementing a network policy for the organization based on the determined network perimeter.

Abstract: Users of organizations use many different third-party applications. The organizations use the services of a server to manage and interact with the third-party applications. In particular, the server provides a user lifecycle API that defines a set of user lifecycle events corresponding to changes of the users with respect to their organizations and/or the third-party applications that they use within the organizations. The server further has access to lifecycle code modules corresponding to the different third-party applications and defining how those third-party applications will respond to the user lifecycle events. When a user lifecycle event occurs for a particular user of a particular organization, the server determines the third-party applications to which the organization has given the user access uses the appropriate functionality of the lifecycle code modules of the corresponding third-party applications to implement the appropriate user changes for those applications.

Abstract: Users of organizations use many different third-party applications. The organizations use the services of a server to manage and interact with the third-party applications. In particular, the server provides a user lifecycle API that defines a set of user lifecycle events corresponding to changes of the users with respect to their organizations and/or the third-party applications that they use within the organizations. The server further has access to lifecycle code modules corresponding to the different third-party applications and defining how those third-party applications will respond to the user lifecycle events. When a user lifecycle event occurs for a particular user of a particular organization, the server determines the third-party applications to which the organization has given the user access uses the appropriate functionality of the lifecycle code modules of the corresponding third-party applications to implement the appropriate user changes for those applications.

Abstract: An on-premise software application (“OPA”) is communicated with according to an action received from outside a firewall. The action concerns user account information maintained by the OPA. The OPA is installed on a device located inside the firewall. The action is received from a management server located outside the firewall. The action includes a portion that adheres to a standardized format. An OPA interface request is generated based on the action. The OPA interface request includes the standardized portion. The OPA interface request is sent to an agent/OPA interface.

Abstract: An on-premise software application (“OPA”) is communicated with according to an action received from outside a firewall. The action concerns user account information maintained by the OPA. The OPA is installed on a device located inside the firewall. The action is received from a management server located outside the firewall. The action includes a portion that adheres to a standardized format. An OPA interface request is generated based on the action. The OPA interface request includes the standardized portion. The OPA interface request is sent to an agent/OPA interface.