UNIFIED EDGE
PROTECTION
Protect against malicious behavior and potential breaches with Integrate All’s layered Unified Edge Protection model. Employ both a complete edge networking protection stack as well as inherent security layers within cellular networks such as access point names (APNs) to provide end-to-end security. Microsegment and control who accesses your network with zero-touch network techniques, zone-based firewall, and VLANs. Know and control your threat profile with application-aware IDS/IPS, IP reputation, and web-filtering capabilities.
Zone-Based Firewall
Threat Management
Web and Content Filtering
Security Dashboard
A zone-based firewall follows a flexible model in which interfaces are assigned to zones, logical areas in which the devices having same trust levels or use cases reside. Policies are applied to traffic moving between the zones with zone forwarding and other options. With a zone-based firewall configuration is flexible, straightforward, and can be implemented at scale.
Integrate All’s secure Threat Management leverages proprietary security experience and expertise in a one-pass Deep Packet Inspection (DPI) solution. Threat Management includes settings for both IPS (intrusion prevention system) and IDS (intrusion detection system), as well as application identification logging. These tools for threat management can identify and prevent a wide variety of network threats.
Integrate All Secure Web Filter offers an advanced traffic management feature from proprietary configurable from the endpoint UI. With web filtering the network we can control internet traffic and set web filtering policies in order to meet compliance requirements, limit data usage, and decrease the accessibility of offensive and potentially malicious web content.
Identify offending users and threats to your network with NetCloud and Unified Edge Security. Quickly gain valuable insights about network vulnerability for faster threat response and resolution, including routers still using a default password. Intuitive insights, based on machine learning, help identify trouble spots needing more focus.