Inlaks completes Fraud mgt solutions for Dashen Bank


Inlaks, an ICT infrastructure and systems integrator in Sub-Saharan Africa, has completed its NetGuardian (NG)-Enterprise Fraud Management Solutions for an Ethiopian lender, Dashen Bank.

Inlaks completes Fraud mgt solutions for Dashen Bank

In a statement by the ICT company, the project implementation which lasted for one year, saw Inlaks deploy various approaches to improve the fraud management solution at the bank.

This included the deployment of over 80 million transactions aggregated to create profiles, the deployment of 11 Behavioral AI Models enabling customers to hit near real-time fraud, and the deployment of 24 advanced pattern-based models.

The Executive Director, Inlaks, Olufemi Muraino, while speaking on the project, said, “Inlaks is proud to have executed the NG Fraud Management Solutions for Dashen Bank. This utilisation will enhance system ownership in protecting valuable assets for customers. The high point of our delivery is good customer service with quality handling, and we are glad to live up to that during implementation”.

A statement said that Inlaks was also involved in the training of over 20 employees from the bank on the Net Guardians system utilization and the deployment of over 20 forensic investigations and management dashboards.

Commending the efforts of Inlaks on the project, Chief Executive Officer, Dashen Bank, Asfaw Alemu, said, “We appreciate the outstanding contribution of Inlaks in the successful implementation of the Enterprise Fraud Management System Project. The extended effort, teamwork, proficiency, and diligence exhibited were invaluable.’’

According to Inlaks, the bank can now manage and get the report for both internal and external fraud.

In another statement, Inlak describes the NG Enterprise Fraud Management as an innovative solution that prevents systems from fraud and evaluates transaction behaviour in identifying suspicious transfers- by using artificial intelligence and machine learning capabilities in understanding transaction patterns enabling it to monitor internal and external fraud thereby preventing it before it happens.


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