Zscaler, Inc.

Edgewise Networks, Inc.

Thomas Evan Keiser, Jr

Peter Smith

John E O'Neil

Scott Laplante

Peter Nahas

Michael J Melson

Harry Sverdlove

Suji Suresh

Andriy Kochura

Xing Li

Raymond Brian Liu

Aparna Ayikkara

Sean Lutner

Omar Baba

Herman Parfenov

Daniel Einspanjer

Joseph Riopel

Anthony Gelsomini

Thomas C Hickman

John H O'Neil

Peter Kahn

Nikitha Koppu

Abhinav Bansal

Ajit Singh

Vivek Raman

Systems and methods for microsegmentation include receiving network communication information that describes flows between hosts in a network and applications executed on the hosts; generating a network communication model based on the network communication information that labels flows; and providing polices to the hosts based on the network communication model where the policies cause performance a set of actions, locally at a host, on any of the flows based on corresponding labels. The labels are one of healthy and unhealthy. The set of actions include blocking, allowing, and allowing for a period of time before confirmation.

Distributed network application security policy generation and enforcement for microsegmentation

Systems and methods include a host system that is configured to execute a security agent that is configured to allow and block flows in a network, on the network interface, receive a script from a command & control server, and execute the script via an interpreter associated with the security agent, wherein the script is configured to any of disable behavior and modify behavior of the security agent at one or more hook points in the security agent.

Software security agent updates via microcode

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.

Semi-automatic communication network microsegmentation

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.

Fingerprinting to identify devices and applications for use in management and policy in the cloud

Systems and methods include obtaining telemetry from a plurality of security agents each operating on a device in a network, wherein the telemetry is collected locally related to datagram protocol packets; analyzing the telemetry to determine applications associated with the datagram protocol packets flowing in the network and virtual circuits between each of the applications; determining enforcement policies for each application that communicates with other applications over a datagram protocol; and providing the enforcement policies to the plurality of security agents for allowing and blocking communications associated with the datagram protocol.

Application identity-based enforcement of datagram protocols

Systems and methods include implementing dynamic runtime code manipulation to modify application code associated with calls related to networking, with the calls implemented by application software executed as a serverless workload; intercepting the calls from the application software based on the modified application code; determining whether to permit the calls based on a set of policies; responsive to permitting a call, making the call to an operating system interface on behalf of the application software; and, responsive to not permitting the call, providing a failure notification to the application software.

Identity-based enforcement of network communication in serverless workloads

A computer system automatically generates a proposal for network application security policies to be applied on a telecommunications network. The system provides output representing the proposed network application security policies to a user. The user provides input either approving or disapproving of the network application security policies. If the user approves, then the system applies the of the proposed microsegmentation. This process may be repeated for a plurality of hosts and subsets thereof within the same network, and may be repeated over time to modify one or more existing network application security policies. The network application security policies govern inbound and outbound connections to the hosts in the network.

Identifying and providing network application security policies governing connections to and from hosts in a network

A system validates the establishment and/or continuation of a connection between two applications over a network using a two-stage process: (1) a local security agent executing on the same source system as the source application validates the connection against a set of policies stored locally on the source system; and (2) a local security agent executing on the same destination system as the destination application validates the connection against a set of policies stored locally on the destination system. The connection is allowed or blocked depending on the outcome of the two-stage validation. Before the validation process, a policy enforcement engine distributes copies of a trusted public certificate to the source and destination local security agents, which extend their local copies of the certificate to enable them to enforce policies without the use of a backend system.

Distributed network application security policy enforcement

Computer-implemented systems and methods automatically identify computers that act as load balancers on a digital communications network, using data collected from one or more computers on that network. Once a load balancer has been identified, the communications between two hosts may be connected across the identified load balancer, thereby making it possible to better analyze the behavior of hosts and applications on that network.

Automated load balancer discovery

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Boston, MA, United States of America

Thomas Evan Keiser, Jr