Cisco Technology, Inc.

Suraj Rangaswamy

Vinay Prabhu

Sarah Adelaide Evans

Vamsidhar Valluri

Jigar Dinesh Parekh

Anand K Oswal

Saravanan Radhakrishnan

Ashish Shendure

Pranav Narasimmaraj

Parth Sanjiv Doshi

Systems and methods provide for synergistic domain name system DNS security updates for an enterprise network operating under a Software Defined Wide Area Network (SD-WAN). A system may be configured to collect positive and/or negative unified threat defense (UTD) results, deploy a rules-based model that, when a threat or clearance is detected across several SD-WAN edge network devices, triggers an update to a local security blacklist/whitelist, wherein the update comprises a signature, and push the update to other devices that have not yet seen the threat or clearance.

Synergistic DNS security update

Systems and methods provide for provisioning a dynamic intent-based firewall. A network controller can generate a master route table for network segments reachable from edge network devices managed by the controller. The controller can receive zone definition information mapping the network segments into zones and Zone-based Firewall (ZFW) policies to apply to traffic between a source and destination zone specified by each ZFW policy. The controller can evaluate a ZFW policy to determine first edge network devices that can reach first network segments mapped to the source zone specified by the ZFW policy, second edge network devices that can reach second network segments mapped to the destination zone specified by the ZFW policy, and routing information (from the route table) between the first network segments, the first and second edge network devices, and the second network segments. The controller can transmit the routing information to the edge network devices.

Dynamic intent-based firewall

Systems, methods, and computer-readable media for scaling a source network. A system may be configured to receive a network configuration for a source network, wherein the source network comprising a plurality of nodes, receive and a scale target for a scaled network, and identify, based on the scale target, one or more selected nodes in the plurality of nodes in the source network for implementing in the scaled network. The system may further be configured to reconfigure data plane parameters and control plane parameters for each node in the one or more selected nodes.

Network scale emulator

Systems, methods, and computer-readable media for designing network performance and configuration include determining one or more use cases for a network to be provisioned, based on at least one or more business verticals related to a customer of the network. A data plane scale is determined from the use cases and an initial data plane scale generated using a linear regression on one or more data plane parameters. The data plane parameters include a platform type, feature set, packet size, or software version of the network. A control plane scale is determined from the use cases and an initial control plane scale generated using a linear regression on one or more control plane parameters of the network. The control plane parameters include a platform type, feature set, or software version of the network. The network is provisioned for the data plane scale and the control plane scale.

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San Jose, CA, United States of America

Suraj Rangaswamy