Edgewise maps your application topology and provides complete visibility into network communications by fingerprinting all software and services based on cryptographic attributes. Every time workloads communicate through the network, Edgewise is able to accurately identify what’s communicating and reveals deeper insight about application-to-application communication, connections between hosts, and other data pathways.
When managing compliance, security and audit teams must be able to identify how data is being accessed and by what services or processes. Because Edgewise fingerprints then segments every host and application communicating in your networks, and then uses zero trust verification to approve or deny network communications, you can instantly identify violations of privacy or security laws and the potential for privacy abuses.
Segmenting your network reduces the scope of compliance initiatives for your organization because different regulations put certain types of data in scope. Edgewise places “microperimeters” at the data level instead of on hosts or user devices. Edgewise’s segmentation policies are focused at the data level, so they are better able to protect against malware propagation. Edgewise’s “data-first” approach means that you can apply policy based on data type and know that control travels with the data, independent of network environment.
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.