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“The cVidya solution and our deployment approach will provide the level of assurance and flexibility required by MTN in achieving a robust, yet cost-effective solution to meet our existing and ongoing business needs.”

Nadia Ali, General Manager of Business Finance and Assurance, MTN South-Africa

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Prevent usage abuse and theft

Usage generates most of your revenues; therefore it is essential to assure prompt usage by those using your network infrastructure. Current fraudulent or abusive usage patterns range from impersonation, identity theft, multitude of calls with long durations to costly destinations, up to collaboration with “shady” call centers and premium service providers or “piggybacking” your network.

cVidya’s FraudView guards your network against such abusive usage patterns. FraudView collects and process usage information via powerful rules, profiles and patterns engines. These enable to alert upon detected incidents in real time. Detected incidents are subjected to in-depth investigation via advanced case management. Here FraudView is configured to:

Detect abusive usage patterns according to a diverse criteria
Detect abusive time-distance impersonations/identity theft
Employ usage behavior analysis at service, account and phone numbers levels
Intuitive investigation via a comprehensive case environment
Powerful data slicing tailored to your customer types and service offerings
Data mining/AI capabilities
Field proven detection engines

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