MTN Ghana Invests 2.5 Million Dollars In Machine Learning To Combat Mobile Money Fraud

At a forum held in Accra to discuss Mobile Money Fraud and the way Forward,” at a Cybersecurity workshop, Senior Manager, Risk Compliance and Anti-Money Laundering, MTN Ghana, Mr Godwin Kwami Tamakloe said MTN had invested about 2.5 million dollars into Artificial Intelligence and machine learning to upgrade its existing technology to track down the identity of such fraudsters.

He said in collaboration with the Ghana Police Service, over 50 persons had been arrested for their involvement in Mobile Money related crimes and names of such persons would be published to deter persons indulging in such activities.

Mr Tamakloe said the collaboration would build the trust of the populace in Service providers.

Assistant Commissioner of Police (ACP), Dr Herbert G. Yankson said there was the need for stakeholders to intensify education, targeting all sectors of the economy, saying, records had shown that the number of cases recorded at his office had reduced from 93,000 in 2018 to 49,000 as at June 2020.

He called for collaboration between the telecommunications service providers and the Police Service to facilitate data sharing to enable quick arrest of offenders.

Acting Head of Technical Operations, e-Crime Bureau, Mr Eric Kwaku Mensah said mobile phone users should avoid filling push prompt notifications, which demanded their pin codes because that was the new technique being used by fraudsters.

He advised them to report issues to the National Cyber Security Center (NCSC) through its short code 292 or to the mobile networks immediately.

Head of Fintech and Innovations, Bank of Ghana, Mr Kwame Agyapong Oppong said there was the need for an upgrade in the identification structure of citizens to enable easy sharing of information across institutions to fight such crimes.

He advised the public to “Report incident of attempt fraud or fraud early without delay.”

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