Salesforce, Inc.

Brocade Communications Systems, Inc.

Prabhat Singh

Kaushal Bansal

Jose Lejin P J

Ramanjaneyulu Y Talla

Varun Kulkarni Somashekhar

Ranjith Nath

Santhosh Ram Vetrinadar Manohar

Toan Van Nguyen

Amitabh B Chakrabarty

Aditya Suresh Kumar

Megha Dixit

Fiaz Hossain

Sriram Srinivasan

Anmol Arora

Arthur Jones

Gianstefano Monni

Deepanshu Badola

Praveenkumar Sowpati

Dheeraj Kakkar

Christopher Jason Donley

Amit Chakrabarty

Vinod Vasant Pai

Alankar Sharma

Qiyuan Zheng

Anil Kumar Ravipati

Syed Abdullah Shah

Bogdan Florin Romanescu

Vamshi Karnati

Tanmay Singh

Adam J Salter

Chirdeep Panduranga

Neha Kerkar

Stephen Fung

Prateek Tambi

Darragh Connaughton

Ashwin Shroff

In some embodiments, a method determines a first functional domain that includes a group of security policies that have been copied from a second functional domain. Network flow data is queried to determine network traffic that is associated with a security policy in the group of security policies in the first functional domain. The method analyzes utilization of the security policy based on the network traffic. Based on the analyzing, a recommendation is generated to change the security policy in the first functional domain.

Self healing network security policy management

Disclosed are examples of systems, apparatus, methods and computer program products for automation of network security policy analysis and deployment. A server system can obtain a system input comprising two versions of a policy output. The system can generate a severity characteristic that indicates a severity of deploying the second version of the policy output. The system can then determine whether to deploy the second version of the policy output based on the severity characteristic. The system can then, in response to determining that the second version of the policy output is to be deployed, deploy the second version of the policy output to one of a plurality of clouds.

Automation of cloud network security policy analysis and deployment

First and second dashboards that provide a visual representation of respective intelligence information for a firewall may be generated. An indicator of correspondence between a first data element of the respective intelligence information for the first dashboard and a second data element of the respective intelligence information for the second dashboard may be displayed as an overlay of the first and second dashboards. Additionally, a guidance indicator that indicates an order to access respective values of the first dashboard, the second dashboard, and a third dashboard may be displayed based on an identifier of the first data element mapped to an identifier of the second data element and an identifier of the second data element mapped to an identifier of a third data element for the third dashboard. A summary window that provides a summary of intelligence dashboards of a user interface may be displayed.

Identifying relationships between intelligence dashboards

Methods and systems for data processing and troubleshooting at a query management service are described. The query management service may receive, via a proxy between the query management service and a communication service, an indication of a query from a user of the communication service. The query management service may determine an intent of the query based on using a third-party natural language processing (NLP) model and customized logic to analyze the query. The query management service may obtain query results based on executing, within a distributed computing environment that includes the query management service and a set of multi-substrate network security services, a sequence of actions, that correspond to the intent of the query. The query management service may transmit an indication of the query results to the communication service, where the query results are rendered according to feedback information received from the user.

Techniques for processing queries related to network security

Display screen or portion thereof with animated graphical user interface

A computer-implemented method for monitoring and remediating security drift in a public cloud network is disclosed. The security drift event includes an unintended change to existing security controls effected through an unauthorized deployment channel, performed by an unauthorized user. The method includes providing a cloud server application including a number of cloud client accounts, and deploying the cloud client accounts in client account clusters. The client account clusters include a master account that includes a drift detection component and a number of service accounts including serverless application components. The method further includes instantiating cloud infrastructure resources in the service accounts, and detecting a security drift event in the client account cluster, by the drift detection components. The method further includes, responsive to the security drift event, obtaining one or more remediation rules, and implementing a drift remediation strategy based on the one or more remediation rules, by a rules engine.

Monitoring and remediation of security drift events in a public cloud network

Systems and methods are provided for requesting, at a service configured on a server, a public key infrastructure (PKI) generated certificate using a PKI agent, where the PKI agent stores a private key and the generated certificate in a key management service (KMS). An application layer security controller communicatively coupled to the server registers the service to enable the application layer to inspect packets. The PKI agent transmits version information for the certificates to the application layer security controller, and the PKI agent updates the certificates and keys in the KMS. The service and an application layer datapath component change the routing of packets using an overlay network and inspect at least one of the packets. The application layer datapath component decapsulates at least one packet by using the private keys and certificates retrieved from the KMS, and performs application inspection of the decapsulated packet.

Systems and methods of application layer packet inspection

Implementation(s) for multi-factor network segmentation are described. A plurality of packets at a higher layer of a network stack is processed, where at least one packet of the plurality of packets was previously determined, as part of processing the at least one packet at lower layers of the network stack, to be authorized to be processed by the higher layer. Specifically, responsive to successful authentication of a cryptographic certificate received during the handshake process, a second service is identified from the cryptographic certificate. It is determined, based on a security policy, that the second service is authorized to access the first service. Responsive to the determination, a configuration is caused such that packets sent using the source address are now authorized to be processed by the higher layer.

Multi-factor network segmentation

Systems, devices, and techniques are disclosed for maintaining service availability. Files including code written using a Domain Specific Language (DSL) for network security may be received. A knowledge graph including connections between services may be generated from the code written using the DSL in the files. A service that will have an availability issue may be determined based on the connections between services in the knowledge graph. The service that will have the availability issue may be replicated. The replication of the service that will have the availability issue may occur before the service has the availability issue.

Maintaining service availability

Methods, systems, and devices for data processing in a computing system are described. The computing system may receive a notification of an update to network security objects hosted in diverse substrates within the computing system. The computing system may retrieve a network security policy for a service instance impacted by the update. The computing system may update the network security policy for the service instance according to a network security configuration of the hosting substrate. The computing system may translate the updated network security policy into access control lists (ACLs) for network entities managing communications between service instances within the computing system. The computing system may store the ACLs in respective data repositories that are accessible to the network entities. The computing system may transmit a notification that the ACLs are available for deployment, thereby causing the network entities to retrieve the ACLs from the respective data repositories.

Systems and methods for automatically rendering and deploying network security policies

A system is disclosed for acquiring and managing data regarding external IP (EIP) addresses of services offered in a trusted public cloud environment. The system monitors an application program interface of a service executing in a trusted public cloud environment for occurrence of an event that is related to an EIP of the service. When an event is detected, the system extract EIP related data and metadata of the service, generates a message with the extracted EIP data, and posts the message to a central message queue. The system monitors the message queue for the presence of a new message. Upon detecting a new message, the system processes the message, extracts EIP related data. metadata, and identifies an action. A central database that stores EIP related information of services executing in the trusted public cloud environment is updated based on the identified action.

Automated external IP address discovery of services in a public cloud environment

Disclosed are examples of systems, apparatus, methods and computer program products providing network security orchestration and management across different clouds. In some implementations, network security information includes a set of security policies indicating permitted communications between or among computing resources. The network security information is converted to a cloud-independent representation. From the cloud-independent representation, policy sets can be generated, where each policy set is specific to a different cloud.

Network security orchestration and management across different clouds

A network connectivity system identifies potential connection mechanisms between datacenter entities (e.g., between service instances) on the cloud platform. The network connectivity system provides recommendations including one or more connectivity paths that are preferred with respect to one or more indicators, for example, cost, latency, or security. Specifically, the network connectivity system receives a request to configure a network connection between a first service instance and a second service instance on the cloud platform. The first service instance and the second service instance may reside within the same or different datacenters, different geographical locations, and the like. A network connectivity system identifies, from network connectivity information, one or more connectivity mechanisms for establishing connection between a first datacenter entity (e.g., first service instance) and a second datacenter entity (e.g., second service instance).

Network path recommendations for services executing on cloud platforms

Techniques for managing ternary content-addressable memory (TCAM) in a network device/system are provided. In one embodiment, the network device/system can include one or more TCAMs and can execute a TCAM manager for each TCAM. Each TCAM manager can manage allocation of resources of its associated TCAM, as well as manage access to the TCAM by one or more network applications running on the device/system. In this way, the TCAM managers can hide TCAM implementation differences (e.g., different sizes, different capabilities, etc.) from the network applications and thereby enable the applications to interact with the TCAMs in a uniform manner.

Techniques for managing ternary content-addressable memory (TCAM) resources in heterogeneous systems

Growing community of inventors

Sunnyvale, CA, United States of America

Prabhat Singh