South Korea’s Financial Supervisory Service has built an artificial intelligence system to map links among illegal private lending groups, identifying about 3,400 organizations. The tool analyzes Telegram accounts, telephone numbers and bank account details found in victim reports, turning repeated overlaps into a network that investigators can follow.
A connection is drawn when the same crime-related information appears in at least three separate reports. Once investigators identify one account or participant, the map can expose other members of the same group and potentially point toward connected organizations. The system is intended to overcome the fragmented view created when complaints are examined individually.
The scale of the abuse is visible in one case reported by SBS. A borrower who needed living expenses took out a 300,000 won loan after receiving an advertisement by text message. When the borrower missed the repayment date, daily late fees of 50,000 won pushed the claimed debt to 800,000 won.
A small loan followed by threats against a family
The Financial Supervisory Service advised the borrower that the illegal contract created no obligation to make additional payments. After the borrower stopped transferring money, the lender allegedly sent sexually explicit messages to the borrower’s spouse, young child and other people around the victim. Such intimidation shows how illegal lenders can use access to personal contacts to extend collection pressure beyond the person who borrowed.
Telegram-based operations using overseas servers have been difficult to trace through conventional reports and investigative methods. Under a legal amendment, the Financial Supervisory Service expects to gain direct investigative authority from January and plans to use the AI system actively. It also intends to share the analytical method with police and other investigative agencies, allowing a lead from one complaint to be checked against the wider network.