Hana Financial "Detecting Money Laundering Prevention with AI Machine Learning"

Applied to Hana Bank... Easy and Fast Suspicious Transaction Detection

Hana Financial Group is developing an AI-based proprietary machine learning model to detect suspicious money laundering transactions.

Hana Financial Group announced on the 22nd that Hana Bank and Hana Financial TI's in-house independent company (CIC), Hana Financial Convergence Technology Institute, have collaborated to develop a 'Machine Learning (ML) Model for Anti-Money Laundering (AML)' independently.

This model, which improves upon the existing model that only provided the likelihood of suspicious transactions as quantitative rating scores, offers specific grounds for judging suspicious transactions and can classify them finely according to their importance.

Hana Financial Group emphasized that this has been applied to Hana Bank's system to establish a proactive response system. Specifically, it explained that it has enabled ▲ enhanced accuracy in detecting suspicious transactions ▲ a user-friendly system that allows responsible staff to judge suspicious transactions more easily and quickly ▲ provision of highly reliable data using AI technology.

Hana Financial Convergence Technology Institute plans to continue expanding the application scope and sophistication of the independently developed 'AML ML Model' to make efforts to prevent financial crimes, including money laundering.

Lee Hae, Director of Hana Financial Convergence Technology Institute, said, "We will continue to strive to provide more reliable financial services through AI technology."