Trusted by forward thinking companies worldwide
Micro segmentation built for real world hybrid environments
-
Identity aware segmentation
Cloudraw micro segmentation is designed to secure communication between workloads, applications, users, and internal services at a much more granular level than traditional network segmentation.
-
Policy beyond the network
Instead of relying on coarse trust zones, static IP rules, or broad east west access, the platform applies policy at the identity, application, and service layer to reduce unnecessary trust inside the environment.
-
Contain threats and limit movement
This allows organizations to isolate critical assets, control service to service communication, and contain ransomware or post breach movement without redesigning the network or forcing security teams to manage endless internal firewall dependencies.
Core capabilities
-
Identity Based Segmentation
Apply segmentation policies based on identity, role, device, or service context rather than relying only on static IP ranges or network location.
-
Application Aware Traffic Control
Define policies at the application and service layer, so communication is allowed only where it is explicitly required.
-
East West Traffic Visibility
Continuously monitor internal traffic flows to understand how systems communicate, validate policy behavior, and surface unauthorized or suspicious connections.
-
Dynamic Policy Adaptation
Adjust segmentation policies based on identity, device health, behavior, and risk posture instead of treating segmentation as a one time static network design exercise.
-
Hybrid and Multi Cloud Enforcement
Apply consistent segmentation policy across on prem, cloud, and hybrid infrastructure without tying enforcement to a single topology model.
-
Integration with Existing Security Controls
Extend segmentation with IAM, SIEM, and EDR integrations to improve visibility, policy context, and incident response.
Fast and simple Implementation phases
Cloudraw is designed to accelerate micro segmentation adoption without forcing organizations to rebuild their internal communication model.
Rather than introducing a separate network fabric, redesigning traffic paths, or deploying new enforcement infrastructure, the platform overlays existing environments, learns how they operate, and builds policy from real production behavior.
By connecting to existing communication layers and security controls, Cloudraw maps service relationships, analyzes traffic patterns, and generates the insights needed to move from visibility to enforceable segmentation faster.
AI assisted analysis helps refine policies, identify anomalies, and reduce manual rule creation, allowing organizations to strengthen segmentation without redesigning the network.
