It is vital to gain insight into how workloads communicate to embrace a workload-centric protection approach. Edgewise automatically learns your application topology, visualizes all the potential pathways of attack, and highlights areas of greatest risk, regardless of whether your workloads are running in the cloud or on premises.
Workloads can now be efficiently and securely migrated to the cloud because cross-functional teams will gain a shared understanding of how workloads function.
Because Edgewise policies are application centric and not bound by network address constructs, the policies automatically adapt from on-premises environments to the cloud. Edgewise uses machine learning to build policies that protect 99.99% of workload communications. Edgewise delivers a manageable set of policies—up to 60x fewer than traditional address-based policies—which are described in plain English, and dynamically adapt to changing environments to simplify your journey to the cloud.
Stop lateral movement of malicious software that bypasses firewalls. Lock down your cloud and allow only verified applications to communicate over approved pathways. Receive alerts for any anomalous communication.
As much as 95% of network pathways are not required for normal business use. Eliminate unneeded application communication paths and protect the rest by mutually validating connections before a single packet is sent.
Apply workload protection policies in minutes, not days or months. Quickly approve machine-learned and automatically-built policy recommendations.