Assuring your data and systems meet compliance requirements necessitates an understanding of how data is stored and transmitted through your networks. Edgewise uses workload identity to map application and service communication paths and provide real-time flow path maps. Every time workloads communicate through the network, Edgewise is able to accurately determine 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. Edgewise fingerprints then segments every host and application communicating in your networks, and then uses zero trust verification to approve or deny network communications, so you can instantly identify violations of privacy or security laws (e.g., transferring or storing health data to a non-compliant database) and the potential for privacy abuses (e.g., if a database containing PII tries to connect to an unverified host).
Edgewise reduces the scope of compliance initiatives by placing segmentation policies at the data level instead of around network constructs. 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. When it comes time for a compliance audit, your customized dashboard allows you to quickly and clearly demonstrate how compliance-related data and systems have been protected against unauthorized access or use.
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.