The long-awaited launch of services by Ethiopia’s new mobile operator Safaricom Ethiopia is due to take place this month. Meanwhile, state-owned incumbent operator Ethio Telecom is continuing to upgrade its offering. The latest improvement involves a new fraud management system to replace the operator’s legacy system.
In this case it’s Indian company Subex, which describes itself as a pioneer in driving AI-led digital trust, that has been selected by Ethio Telecom to deploy a fraud management solution built on Subex’s AI orchestration platform, HyperSense.
This new solution will replace Ethio Telecom’s existing legacy fraud management system, enabling the company, Subex says, to move from a traditional rules-based approach to an AI-first approach. This approach will, in turn, enable the operator to detect new and unknown threats in real time.
The Subex system, which leverages AI in every step of the fraud management process, will allow Ethio Telecom to bring in enhanced accuracy, coverage and time-to-detect. These capabilities will, in turn, enable the operator to adopt a proactive approach to combatting risks such as SIM box, spoofing, SMS frauds, roaming frauds, subscription frauds, device frauds, mobile money risk and credit risk management. Ethio Telecom has already deployed a business assurance system from Subex, so will now be able to consolidate its revenue assurance and fraud management approach to ensure the breaking down of silos and enhance operational efficiency.
With Subex’s fraud management solution on HyperSense, Ethio Telecom will be able to improve fraud coverage across its various business lines, leverage explainable AI capabilities to enhance customer experience, and make quick, data-driven decisions with advanced visualization and dashboarding capabilities. It will also be able to cater to new business requirements thanks to the system’s scalability and elasticity, and benefit from rolling upgrades – meaning it will eliminate long and expensive upgrade cycles. Finally, says Subex, it can reduce TCO with open-source components and a low hardware footprint.