Abstract: Techniques for using traceroute with tunnels and cloud-based systems for determining measures of network performance are presented. Systems and methods provide adaptive probing of a service path in a network, wherein the service path includes a plurality of legs. The systems and methods include, for one or more legs of the plurality of legs, sending a number of probes using one of a plurality of protocols; responsive to receiving a response from the number of probes, determining the one of the plurality of protocols is successful and storing this protocol the one or more legs; and, responsive to failure to receive the response, sending a number of probes using another one of the plurality of protocols and continuing until a successful protocol is determined or all of the plurality of protocols fail.

Abstract: Systems and methods include establishing a control channel of a tunnel utilizing a first encryption technique, wherein the tunnel is between a local node including one or more processors and a remote node, and wherein the control channel includes a session identifier; establishing a data channel of the tunnel utilizing a second encryption technique, wherein the data tunnel is bound to the control channel based on the session identifier; performing, over the control channel, device authentication and user authentication of one or more users associated with the remote node, wherein each of the one or more users includes a user identifier; and, subsequent to the device authentication and the user authentication, exchanging data packets over the data channel with each data packet including a corresponding user identifier. The first encryption technique can be one of TLS and SSL, and the second encryption technique can be one of TLS and DTLS.

Abstract: Techniques for determining the path of User Datagram Protocol (UDP) traceroute probes using Transmission Control Protocol (TCP) and Internet Control Message Protocol (ICMP). Various embodiments include sending a plurality of probes to one or more legs in a network path; obtaining measurements from each of the plurality of probes for each of the one or more legs in the network path; and performing one or more actions based on the measurements from each of the plurality of probes. The steps further include overlapping the measurements to determine latency to a destination and identifying throttling of UDP traffic based on the overlapping of measurements from the plurality of probes.

Abstract: Systems and methods include obtaining criteria for selecting connectors for private application access in a cloud-based system; responsive to a request to access an application, by a user device, located in any of a public cloud, a private cloud, and an enterprise network, wherein the user device is remote over the Internet, determining a connector coupled to the application based on the criteria; and, responsive to a user of the user device being permitted to access the application, stitching together connections between the cloud-based system, the application, and the user device to provide access to the application.

Abstract: Systems and methods include obtaining for a tenant a definition of a sub-cloud in a cloud-based system, wherein the cloud-based system includes a plurality of data centers geographically distributed, and wherein the sub-cloud includes a subset of the plurality of data centers; receiving a request, in a cloud system from a user device, to access an application for the tenant, wherein the application is constrained to the sub-cloud, and wherein the user device is remote over the Internet; determining if the user device is permitted to access the application; if the user device is not permitted to access the application, notifying the user device the application does not exist; and if the user device is permitted to access the application, stitching together connections between the sub-cloud, the application, and the user device to provide access to the application.

Abstract: Systems and methods for visualization monitoring data from a cloud-based system include obtaining monitoring data from a cloud-based system, wherein the monitoring data is based on transactions associated with a plurality of users of a cloud environment; providing a Graphical User Interface (GUI) comprising a plurality of columns wherein each column comprises a plurality of filter cards; obtaining a plurality of filter card selections as inputs from the GUI; and displaying log data based on the plurality of filter card selections. The monitoring data can be for one or more of cloud security service transactions, application access via a Zero Trust Network Access (ZTNA) service, user experience metrics, and files accessed via the cloud environment.

Abstract: A technique for microsegmentation includes receiving information related to hosts and applications operating in a network where the information was obtained based on a survey of the network; identifying a plurality of microsegments utilizing the information, each microsegment includes a set of hosts similar to one another; for each of the plurality of microsegments, identifying security policies that control access to hosts in each microsegment; and providing the plurality of microsegments and corresponding security policies for approval thereof.

Abstract: Systems and methods include receiving network communication information about hosts in a network and applications executed on the hosts; automatically generating one or more microsegments in the network based on analysis of the obtained network communication information, wherein each microsegment of the one or more microsegments is a grouping of resources including the hosts and the applications executed on the hosts that have rules for network communication; and providing the one or more microsegments to one or more hosts of the hosts, for use by the one or more hosts to allow or block communications locally based on the one or more microsegments. Each of the one or more microsegments can be a grouping of workloads inside a data center.

Abstract: The methods described herein include receiving a plurality of packets associated with a file, each of the plurality of packets comprising content, and a source domain; extracting one or more features from content of a first packet of the plurality of packets; applying a trained machine learning model to the extracted one or more features to determine a probability of maliciousness associated with the first packet; responsive to determining that the probability maliciousness of the first packet is between a first threshold value and a second threshold value, labeling the first packet as having an uncertain maliciousness; extracting one or more features from content of a second packet of the plurality of packets; and applying the trained machine learning model to the extracted one or more features of the first packet and the second packet to determine a probability of maliciousness associated with the second packet.

Abstract: Systems and methods for troubleshooting and performance analysis of a cloud-based service include receiving metrics over time from a plurality of analyzers, wherein the metrics include service-related metrics and network-related metrics related to a cloud-based service, wherein each analyzer of the plurality of analyzers is executed at one of a user device accessing the cloud-based service and in the cloud-based service, and wherein at least one analyzer is executed in the cloud-based service; analyzing the metrics to determine a status of the cloud-based service over the time; and identifying issues related to the cloud-based service utilizing the analyzed metrics over the time, wherein the issues include any of an issue on a particular user device, an issue in a network between a particular user device and the cloud service, and an issue within the cloud service.

Abstract: Systems and methods for in-memory malware unpacking and deobfuscation in a sandbox include, responsive to receiving unknown content, scanning an image of the unknown content for packed, obfuscated, or encrypted code; responsive to detecting the packed, obfuscated, or encrypted code performing steps of unpacking, deobfuscating, or decrypting the packed, obfuscated, or encrypted code; executing the unpacked, deobfuscated, or decrypted code; monitoring execution of the unpacked, deobfuscated, or decrypted code; obtaining events during the scanning and the execution; and providing the obtained events to the sandbox for use in a sandbox analysis for classifying the content as one of malware and clean.

Abstract: Systems and methods include receiving a trained machine learning model that has been processed with training information removed therefrom, wherein the training information is utilized in training of the trained machine learning model; monitoring traffic, inline at the node, including processing the traffic with the trained machine learning model; obtaining a verdict on the traffic based on the trained machine learning model; and performing an action on the traffic based on the verdict.

Abstract: A system validates the establishment and/or continuation of a connection between two applications over a network. The system uses network application security rules to allow or disallow connections between the two applications. Those rules include definitions of the source and destination applications to which the rules apply. The system automatically updates the application definitions over time to encompass new versions of the applications covered by the security rules, but without encompassing other applications. The system is then capable of applying the updated rules both to the original applications and to the updated versions of those applications. This process enables the security rules to maintain security over time in a way that is consistent with the original intent of the rules even as applications on the network evolve.

Abstract: Systems and methods of Exact Data Matching (EDM) for identifying related tokens in data content using structured signature data implemented in a cloud-based system receiving data sets and customer configuration from a customer, wherein the data sets include customer specific sensitive data from a structured data source with each token represented by a hash value and the customer configuration includes one or more primary keys for a plurality of records in the data sets; distributing the data sets and the customer configuration to a plurality of nodes in the cloud-based system; performing monitoring of content between a client of the customer and an external network; detecting a presence of a plurality of tokens associated with a record in the customer specific sensitive data based on the monitoring; and performing a policy-based action in the cloud-based system based on the detecting.

Abstract: Systems and methods include connecting to and authenticating a plurality of user devices; utilizing a plurality of RESTful (Representational State Transfer web service) endpoints to communicate with the plurality of user devices; providing any of policy and configuration to the plurality of user devices utilizing version number via a RESTful endpoint; caching the any of policy and configuration for each device of the plurality of user devices; and receiving metrics based on measurements at the plurality of user devices according to corresponding policy and configuration, via a RESTful endpoint.

Abstract: Systems and methods for alerting administrators of a monitored digital user experience include performing inline monitoring of network access between one or more users each with an associated user device executing an agent application, the Internet, and one or more cloud applications and private applications. The systems and methods also include obtaining device, application, and network metrics related to the inline monitoring from a cloud system and a logging and analytics system. The systems and methods further include comparing the metrics to one or more alerts comprising alert rules. The systems and methods yet further include sending a notification to one or more administrators when the metrics include data that satisfies the alert rules of the one or more alerts.

Abstract: Techniques for using trace with tunnels and cloud-based systems for determining measures of network performance are presented. In an embodiment, a method includes determining a client application is being executed; determining an endpoint associated with the client application, based on any of monitoring application logs associated with the client application and network flows associated with the client application; and causing one or more probes to the determined endpoint and deriving metrics based on the one or more probes for determining performance of the client application.

Abstract: Systems and methods include obtaining a plurality of parameters associated with a host; determining a fingerprint of the host utilizing the plurality of parameters; and providing the fingerprint to cloud service for enrollment and management of the host in the cloud service. The cloud service can include microsegmentation of the host. The cloud service can include any of Internet access for the host and private resource access by the host.

Abstract: Systems and methods include, responsive to a request from a user for one or more Business-to-Business (B2B) applications, redirecting the request, by a cloud-based system, to an identity provider to authorize the user; displaying the one or more B2B applications that the user is authorized to access; responsive to a selection of a B2B application of the one or more B2B applications, creating a first tunnel from the B2B application to the cloud-based system; and stitching the first tunnel between the B2B application and the cloud-based system with a second tunnel between the user and the cloud-based system. The systems and methods further include, responsive to the user being unauthorized for any of the one or more B2B applications, omitting the one or more B2B applications from the displaying, such that the one or more B2B applications are invisible to the user.

Abstract: Systems and methods include receiving a request for resources that are one of web content and a cloud application from a user device; determining the request requires isolation based on any of policy, category of the web content, type of the user device, and location of the user device; rendering content associated with the request in a secure environment that is isolated from the user device; and providing image content based on the content to the user device. The user device can execute a web browser that loads the image content utilizing a JavaScript application and that interacts with the image content by sending keyboard and mouse inputs via a WebSocket channel.