Zscaler Workload Segmentation for Mapping Application Topology and Data Flows
Gain Insight Into Every Communicating Application And Process Across Your Environment
Today’s businesses operate on increasingly distributed network architectures, which means critical data can be disseminated across numerous network assets. Your software and applications contain data, your web and email servers handle data, and your data is constantly being spun up into cloud and other virtual instances where the security of the infrastructure is outside of the enterprise security team’s control. To protect your data and the systems that contain the data, you need complete visibility into all applications and how they’re communicating inside your cloud or data center.
Zscaler Workload Segmentation helps your business:
Gain network visibility
Protecting your networks, whether they are internally managed or in a public cloud, requires an understanding of what is present and communicating. Using software identity as the basis for access control decisions, Zscaler Workload Segmentation automatically analyzes and identifies application components, measures your network attack surface, and classifies path risk.
Improve security auditing
Zscaler Workload Segmentation’s real-time, always up-to-date data flow map allows you to clearly see how your software is communicating; what applications, hosts, and processes have access to and are talking to other applications, hosts, and processes; and who/what is attempting third-party access. This insight is an important part of ensuring your systems have the proper controls implemented, that the controls are functioning as intended, and that systems are free of vulnerabilities or exploit.
Adapt to real-time changes
Zscaler Workload Segmentation uses machine learning to learn your dynamic network environments, visualize all potential pathways of attack, and create policies for gap-free protection. Using our patented technology, your data map will automatically adjust, giving you an advantage over attackers by preventing unverified workloads from communicating, all without any architectural changes or manual policy updates.