Edgewise applies the Zero Trust model to bring protection to the workload and allows software to communicate only after verifying its identity. This approach stops the lateral movement of malicious software which masquerade as legitimate communications.
Edgewise automatically visualizes how applications communicate including mapping pathways to critical assets such as databases. Operators can monitor intended state and be alerted to unapproved changes.
It is essential for hybrid cloud workloads to operate in a least-privilege environment. Edgewise automatically measures and shows you how far you are from achieving it by measuring the visible network attack surface and quantifying risk exposure. Edgewise also monitors for deviations from intended state and recommends corrective policies.
No need to struggle with thousands of address-based network policies. Edgewise uses machine learning to analyze application communication patterns and build optimal policies for broadest coverage with the smallest policy set. Policies are described in plain English for easy review.
You can apply Zero Trust policies with one click on the application topology map — no application architecture knowledge or policy building experience required. Any deviations from intended state of environment are flagged for review.
Edgewise protects application services regardless of where they are deployed — on-premises or in the cloud. Edgewise policies accommodate administrative changes include workload autoscaling and orchestration. Edgewise machine learning takes information from DevOps tooling to anticipate change before it happens.
Map application topology in real time, and assess risk. Insight to action in one click. More
Portable policies move with workloads for gap-less protection. More
Including AWS RDS, Lambda, Azure SQL. More
Microsegment workloads in minutes, not months, without building a single policy. More
Protect workloads, not addresses. Stronger protection for high-risk workloads. More