The first step in speeding up microsegmentation projects is to understand how applications communicate and quantify their network attack surface. Edgewise automatically maps application topologies to reveal how applications communicate and then highlights potential pathways of attack within the network. This Zero Trust view helps defenders gain a clear picture of the applications they need to protect and prioritize based on exposure risk.
Edgewise uses machine learning to build Zero Trust policies that provide the broadest coverage with the fewest number of policies. The machine learning system quantifies the reduction in network attack surface and exposure risk realized by applying Edgewise policies. Edgewise produces plain-English policies, making it easy for application owners, security operations, and networking teams to collaborate more easily—no need to translate “application speak” to “network speak.”
Stop lateral movement of malicious software in untrusted cloud networks by allowing only verified applications to communicate over approved pathways.
Over 95% of network pathways are not required for normal business use. Eliminate unnecessary attack surface and protect the rest with zero trust policies.
Edgewise automatically builds protection policies using machine learning, within 48 hours. Simply click Approve for zero trust protection.