Shieldx Networks, Inc.

Mcafee, Inc.

Intel Corporation

Fortinet, Inc.

Musarubra US LLC

Manuel Nedbal

Ratinder Paul Singh Ahuja

Kapil Sood

Manoj Ahluwalia

Jitendra B Gaitonde

Rajiv Sreedhar

Sumanth Gangashanaiah

Meni Hillel

John Richard Guzik

Damodar K Hegde

Muthaiah Venkatachalam

Valerie J Young

Ananth Raman

Hemang Satish Nadkarni

Mark Raymond Lubeck

Bikram Kumar Gupta

Suresh Rajanna

Elanthiraiyan A Anbalagan

Gary Nool

Ren Wang

Geoffrey Cooper

Brian J Skerry

Thomas M Slaight

Shivakumar Buruganahalli

Johannes Mayr

Charles Slate

Paul G Fellner

Keith Eric Amidon

Andreas Schlemmer

Thomas C H Steiner

Peter Blaimschein

John Parker

Lee Chik Cheung

Elanthiraiyan Ammoor Anbalagan

Stuart Gibson

Girish Viswambharan

Ojas Milind Kale

Vishwas Krishnamurthy

Sachin Kajekar

Neil Liberman

David Dvir Adler

Yuk Suen Cheng

Geoffrey Howard Cooper

Toshal Phene

Pankaj Sitpure

Systems, methods, and apparatuses enable one or more security microservices to resolve the disparate impact of security exploits to resources within a resource group. When a resource group is determined to be impacted by a security exploit, the one or more security microservices determines whether the members of the resource group are disparately impacted. In response, the one or more security microservices splits the resource group into an impacted resource group and a non-impacted resource group and applies exploit mitigation to the resource group members in the impacted resource group. When the one or more security microservices determine that the resource group members of the split resource group are no longer disparately impacted, the one or more security microservices combine the impacted resource group and the non-impacted resource group back into a single resource group.

Resolving the disparate impact of security exploits to resources within a resource group

Systems, devices, and methods are discussed for forward testing rule sets at a granularity that is less than all activity on the network. In some cases, the granularity is that of an individual application.

Systems and methods for fine grained forward testing for a ZTNA environment

A method in an embodiment includes detecting a change for a virtual machine in a virtual server of a virtual network infrastructure, determining whether a virtual security appliance is configured in the virtual server, and sending a request to create the virtual security appliance in the virtual server. The method further includes allowing the virtual machine to initiate when the virtual security appliance is created in the virtual machine. The virtual security appliance performs security inspections on network packets sent from the virtual machine. In more specific embodiments, the method further includes creating an intercept mechanism in the virtual server to intercept the network packets from the virtual machine. In further embodiments, one or more security policies identify one or more virtual security appliances to process the network packets from the virtual machine.

Providing a virtual security appliance architecture to a virtual cloud infrastructure

Example firewalls disclosed herein populate a first dynamic object of a firewall rule with first information to identify a first updateable set of devices that satisfy a first one of a plurality of conditions associated with the firewall rule, the first information based on first data obtained from an appliance that monitors communication traffic in at least a portion of a network. Disclosed example firewalls also populate a second dynamic object of the firewall rule with second information to identify a second updateable set of devices that satisfy a second one of the conditions associated with the firewall rule, the second information based on second data obtained from a data source different from the appliance. Disclosed example firewalls further apply, based on evaluation of the first dynamic object and the second dynamic object, the firewall rule to first network traffic associated with a first device in communication with the network.

Intelligent firewall access rules

Technologies for performing security monitoring services of a network functions virtualization (NFV) security architecture that includes an NVF security services controller and one or more NFV security services agents. The NFV security services controller is configured to transmit a security monitoring policy to the NFV security services agents and enforce the security monitoring policy at the NFV security services agents. The NFV security services agents are configured to monitor telemetry data and package at least a portion of the telemetry for transmission to an NFV security monitoring analytics system of the NFV security architecture for security threat analysis. Other embodiments are described and claimed.

Technologies for scalable security architecture of virtualized networks

Systems, methods, and apparatuses enable a machine learning model to determine a risk probability of a URL. A query configurator receives a URL in a query and normalizes the URL. The normalized URL is segmented into a plurality of segments. The plurality of segments is serially provided to the machine learning model trained to provide an indication of risk associated with the URL. The indication of risk associated with the URL can be a probability value based on one or more risk probabilities determined for segment-segment transitions of the URL. A security service compares the probability value of the URL to a threshold value and performs a security action based on a result of comparing the probability value to the threshold value.

Determining a risk probability of a URL using machine learning of URL segments

Systems, methods, and apparatuses enable one or more security microservices to optimize a security configuration of a networked environment by applying security policies to resource groups passively to determine whether network sets, resource groups, or security policies should be modified, prior to active enforcement. When security policies are applied passively, security actions that are performed in response to a violation of security policy do not impact network traffic. The one or more security microservices evaluate the results of the passive application of security policies to determine whether there is at least one recommended modification to network sets, resource groups, or security policies. When there is at least one recommended modification, the modification is applied. When there are no recommended modifications or the recommended modifications have been performed, the one or more security microservices initiate active enforcement of at least a subset of the security policies on the network traffic.

Optimizing a security configuration of a networked environment

Systems and methods are described herein generally relating to network security, and in particular, embodiments described generally relate to real-time configurable load determination. For example, a method is disclosed, which calls for receiving a request to perform a security service, performing the security service on data included with the request; calculating a service load associated with and during the performing the security service, and transmitting a response to the request, wherein the response includes the calculated service load.

Systems and methods for real-time configurable load determination

Systems, methods, and apparatuses enable a security orchestrator to detect a virtual machine deployed in a virtual environment. The virtual machine includes a tag storing information associated with the virtual machine. The security orchestrator determines that the tag contains one or more security elements, the security elements indicating information for determining security settings and policies to be applied to the virtual machine. The security orchestrator determines the security settings and policies associated with the one or more security elements. The security orchestrator then assigns or applies the security settings and policies for the virtual machine based on values of the one or more security elements.

Dynamically applying application security settings and policies based on workload properties

System, methods, and apparatuses used to monitor network traffic of a datacenter and report security threats are described. For example, one embodiment selects a first microservice of a first hierarchy, configures the microservices of a second lower-level hierarchy to remove the first microservice from load balancing decisions to the first hierarchy, moves the first microservice to another server, configures data plane connectivity to the first microservice to reflect a change in server, and configures the microservices of the second hierarchy to include the first microservice in load balancing decisions to the first hierarchy.

Dynamic, load-based, auto-scaling network security microservices architecture

Systems, methods, and apparatuses enable deploying and executing a security policy on endpoints in a network. In an embodiment, a security orchestrator determines a set of endpoints in a network and determines transformed endpoints from the determined set of endpoints through an endpoint transformation process. The security orchestrator determines a connectivity vector for at least a first transformed endpoint and a second transformed endpoint, where the connectivity vector includes properties associated with the corresponding transformed endpoint. Using the properties from the connectivity vector of the first transformed endpoint, a security policy is generated and deployed to the first transformed endpoint. Based on a comparison of the connectivity vectors of the first and second transformed endpoints indicating a similarity between the first and second transformed endpoints, the security policy is further deployed to the second transformed endpoint.

Systems and methods for managing endpoints and security policies in a networked environment

Systems, methods, and apparatuses enable a microservice to identify server-to-server communication paths between servers in a networked environment. The system identifies a server connected to a security microservice managed by a management microservice. The system deploys a security policy on the identified server, and identifies the server-to-server communication paths between the identified server and one or more of a plurality of servers. The system identifies the active communication paths from the identified server to one or more of a plurality of servers, or a subset of communication paths determined based on search criteria. When the system identifies servers of the one or more of the plurality of servers without an existing security policy, the system processes the identified server. In one embodiment, processing the identified servers includes applying a security policy to the identified servers.

Identifying communication paths between servers for securing network communications

Growing community of inventors

Santa Clara, CA, United States of America

Manuel Nedbal