Examples of revenue threats from a network perspective:
Where a domain appears to be one service but is another in reality. This is a common way for users to access unauthorized content for their plan
Bypassing interconnect call charges via VOIP routing and local breakout
Users using VPN apps to bypass content access controls for their plan
A user plan which allows Chat but not VOIP for social network
Enea’s technology allows us to effectively manage all our streaming data, including encrypted video, resulting in a very positive impact on subscriber QoE
TELUS is proud to partner with Enea and give our customers a better experience while watching videos
The innovative solution from Enea has been impressive. They have demonstrated their expertise and backed it up with excellent levels of service
Secure Traffic Manager and RAN Congestion Manager effectively manage encrypted and non-encrypted traffic, reduce RAN congestion and improve subscribers’ quality of experience.
Enea’s cloud native Traffic Classifier DPI solution enables these threats and new risks to be analyzed with thousands of protocol and meta data options.
Traffic Classifier uses the industry leading Enea Qosmos ixEngine as a basis for the widest and most accurate embedded deep packet inspection & classification available today. Qosmos ixEngine is embedded in diverse range of telecom equipment from GGSN to router to firewall; providing a complete view of the traffic path.
- The deep packet inspection and traffic enforcement combines with traffic analytics to provide the dynamic capability to analyze what is happening with application and protocol traffic at multiple levels. The easy to use at GUI enables creation of dynamic traffic queries for key user data generated per flow / session, filtering by multiple vectors including location, time, category, device, protocol on the mobile data access flows.
- The session information and network data provides an extensive set of meta to correlate analysis of consumption, app and protocol.
- Using this sophisticated traffic analysis enables patterns of usage to be better understood, new application changes to be highlighted and any ‘Unknowns’ to be resolved quickly.