Forward_Networks_Background_and_Patents_Held.pdf

2390 Mission College Boulevard, 4th Floor, Santa Clara, CA 95054 Tel: (844) 393-6389 www.forwardnetworks.com

Quick Forward Networks Overview:

Network and security professionals have been using the same tools, techniques and procedures to manage, document, maintain, secure and troubleshoot their complex networks for decades. As networks continue to grow in size and complexity the only way to do this efficiently, at speed, with confidence and at scale is through software.

Almost every agency has some type of core initiative related to secure the network, zero trust, continuous monitoring along with an increased work from home environment to name just a few. Having a clear understanding to what network devices are out there, how are they connected, where the traffic goes, whether it’s working and what to change are paramount to being able to effectively address these initiatives and challenges in rapidly changing environment.

Forward Networks is revolutionizing the way large, multi-vendor networks are managed and operated. Forward Networks advanced software delivers a "digital twin" of the network, enabling network operators to Google like search the network, verify network intent, predict network behavior, avoid outages, and simplify network management.

Forward Networks’ Patents on Network Digital Twin Technology – No other solutions on the market have these capabilities:

https://patents.google.com/patent/US9929915B2/en Abstract: Embodiments relate generally to network hardware, network software and methods for network management and testing. In some embodiments, state information (e.g., configuration data, forwarding states, IP tables, rules, network topology information, etc.) can be received from devices in a network. The state information can be parsed and used to generate a network model, which describes how data is processed by the network. Using the model, possible flow paths of data through the network can be identified and used to analyze the network and identify network behavior, such as types of traffic, frequency of rule matches, what kind of transformation occurs as traffic flows through the network, and where the traffic gets dropped, etc. Policies can be verified against the network model to ensure compliance, and in the event of non-compliance, a report or interface can indicate the cause and/or allow a user to explore specific details about the cause.

https://patents.google.com/patent/US20180115469A1/en Abstract: Embodiments of the present invention provide improved methods, techniques, and systems to compute relevant and useful information that may be presented to users in an understandable, intuitive, and actionable platform. The interactive platform includes a format and visualization that is capable of presenting data for a wide range of protocols and topologies at various functional layers of the network. The interactive platform provides selectable categories of filters which update the network data and views displayed to the users to aid in the analysis and investigation of potential root causes of problems, rather than merely presenting examples of symptoms. The interactive platform includes a method and visualization that is capable of presenting differences in network behavior at various functional layers of the network.

https://patents.google.com/patent/US10911317B2/en

Abstract: Embodiments of the present invention can use a protocol-independent, vendor-independent, efficient and scalable abstraction model for representing the forwarding functionality of networks. Such a model can be used for systematic analysis and verification of networks. Packet header values may be represented as groups of one or more wildcarded bit strings, where unspecified header values are assumed to be fully wildcarded. This representation can

2390 Mission College Boulevard, 4th Floor, Santa Clara, CA 95054 Tel: (844) 393-6389 www.forwardnetworks.com describe many combinations of packets in a space-efficient way, enables more efficient tracing and transformation operations, and can even represent traffic from large internet routing tables efficiently. As a result of the scalability benefits of this more effective way to store and operate on packet collections, network modeling can scale to some of the largest, most complicated networks—those where the benefits are the greatest.