BANGALORE, INDIA: Subex Ltd, a leading global provider of Operations and Business Support Systems (OSS/BSS) for Communication Service Providers, announced today that it has been selected by a major telecommunications service provider in Ecuador to implement its industry leading ROC (Revenue Operations Center) Fraud Management Solution. The operator will be deploying the ROC Fraud Management Solution for its entire operations, including the wireline and mobile networks across Ecuador.
The operator did not have any form of Fraud Management solution prior to this. The deal was clinched by Subex after a grueling global RFP (request for proposal) process based on the solutionâ€™s technical superiority, global expertise, regional commitment and presence.
â€œThis is an important win for us in the South American region. The ROC Fraud Management solution is a key component of the ROC and will help the operator Â to have in place a foolproof system to prevent any occurrence of fraud in their networkâ€, said Sudeesh Yezhuvath, Chief Operating Officer, Subex Ltd.
Subexâ€™s ROC Fraud Management, is built to help CSPs (Communication Service Providers) move towards fraud prevention by eliminating known frauds, reducing free run time, augmenting internal controls and through continuous fraud management process improvement.Â It boasts several industry-leading features, enabling real time reaction through its in-line controls and transaction controls and prioritizes investigation of potential fraud cases through its advanced artificial intelligence (AI) techniques.
Some of Subex ROC Fraud Managementâ€™s features are:
- Pre-check functionality, which runs multiple checks on new subscription against blacklists and identifies fraudsters based on phonetic, exact and combination matches.
- Patent-pending e-fingerprinting feature, which captures the details of subscriber behaviour and matches against a hot list of previously recorded fraudster fingerprints without relying on any subscriber credentials.
- IAQ (Intelligent Alarm Qualifier), which uses AI to detect the truly false alarms, thereby increasing analyst productivity and reducing revenue leakage.