It is vital to gain insight into how workloads communicate for Zero Trust security. 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.
Cross-functional teams will gain a shared understanding of how workloads communicate, allowing them to better understand and prioritize risk in hybrid clouds.
Because Edgewise's Zero Trust policies are application-centric and not bound by network address constructs, the policies automatically adapt whether they are applied in on-premises environments or in 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 to simplify hybrid cloud security management.
Apply adaptive and simplified policies to allow only verified workloads to communicate over approved pathways. Never trust, always verify.
Identify data stores and map communication pathways to understand your security risk. Prioritize protection based on risk of compromise.
Enable DevOps and SREs to build and deploy software with more security and with fewer disruptions to the SDLC. Machine-learned policy creation and enforcement allows auto-scaling in even the most elastic cloud environment.