Edgewise Networks Receives Approval for Two New Patents; Amasses IP Portfolio for Zero Trust Microsegmentation

New patents underscore the company’s ability to simplify
microsegmentation and prevent unauthorized lateral movement behind the

, the industry’s first microsegmentation platform based on
software identity, announced today it has received approval from the
U.S. Patent and Trademark Office (USPTO) for two new patents that cover
key elements for automating microsegmentation to enable zero trust
security for enterprises. Edgewise now has three approved patents with
an additional eight patents pending. The patent work underscores
Edgewise’s market leadership and reinforces how the company’s approach
to software identity-based segmentation provides an order of magnitude
improvement in both security and operational simplicity.

Traditional methods for microsegmentation are too complex, taking months
or years to implement, and the effort is hard to measure. Most
microsegementation efforts rely on IP address-based controls, requiring
constant updates as environments change, especially in ephemeral
environments such as cloud.

Edgewise’s intellectual property (IP) portfolio and unique approach to
microsegmentation and zero trust security solves these problems by
focusing on security at the software level, using machine learning (ML)
to rapidly microsegment networks. This software-centric approach to
microsegmentation provides provable security outcomes and zero touch

Edgewise is the only company with IP that protects all three elements
required to create a zero trust environment:

  • The right data: The Edgewise patent, “Automated Load Balancer
    Discovery,” ensures the company can accurately map application
    communication pathways using ML and statistical methods, across load
    balancers and NAT (network address translation) environments.
    Collecting high quality, high fidelity data that’s not contaminated
    with noise is a critical first step to enable extreme
    microsegmentation automation. Load balancers further complicate an
    already tangled web of connections, because they act as a black box,
    obscuring network visibility. Edgewise’s science-driven invention can
    detect load balancers without relying on IP addresses or ports, both
    of which change in modern networks, and without installing an agent on
    the load balancer. As a result, Edgewise is able to obtain an
    accurate, comprehensive topological view of the environment.
  • The best analysis for policy optimization and management: “Network
    Application Security Policy Generation,” describes how Edgewise uses
    ML to create the minimum number of policies required to secure access
    pathways between applications, making policy management easier and
    more efficient. Through the use of immutable, cryptographic software
    fingerprints, these policies can detect exploited or manipulated
    application software and prevent them from communicating, even if they
    use the same name and communication content as a permitted application.
  • Policy enforcement at the right control plane: In December
    2018, Edgewise was granted its first patent for zero trust security, “Network
    Application Security Policy Enforcement
    .” This IP covers
    Edgewise’s policy enforcement technology, which enforces the symmetric
    verification of software fingerprints at both ends of a network

These patents demonstrate that Edgewise can discover what’s really
happening on a network, and then automatically create optimal policies
using advanced analytics, to secure communications between applications
and other network assets,” said Peter Smith, CEO of Edgewise. “The
technologies and methods they cover lay the foundation to finally solve
the most vexing problem in enterprise IT— network attack surface

About Edgewise
Edgewise is the industry’s first zero
trust platform
that stops breaches in the data center and cloud.
Edgewise makes microsegmentation simple in any environment–on premise,
public cloud or across containers. Edgewise’s patented technology
protects workloads and prevents attackers’ lateral movements by allowing
only verified software to communicate. Using machine learning, Edgewise
recommends adaptive policies that eliminate 98% of the network attack
surface and protect the rest. Gartner has recognized Edgewise as a 2018
Cool Vendor.
To learn more about Edgewise, please visit https://www.edgewise.net/.


JaeMi Pennington
Metis Communications

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