Sharing Platform-Level Technical Measures, Institutional Safeguards, and Public-Private Cooperation Cases

Carrot announced on the 17th that it participated in the 3rd International Anti-Fraud Conference hosted by the National Police Agency and presented strategies and cases for combating fraud on secondhand trading platforms.


This conference, now in its third year, was held over two days, September 16 and 17, at Hotel Naru Seoul MGallery. On the second day of the conference, September 17, Carrot gave a presentation during the "Victim Protection Policies and Support Strategies" session. Seongmin Lim, head of Carrot's service operations team, shared types and cases of fraud that occur in actual peer-to-peer transactions and introduced platform-level strategies to prevent such incidents.


At the 3rd International Anti-Fraud Conference hosted by the National Police Agency, Seongmin Lim, head of the Carrot service operations team, is presenting on "Strategies and Cases for Responding to Fraud on Secondhand Trading Platforms." Carrot

At the 3rd International Anti-Fraud Conference hosted by the National Police Agency, Seongmin Lim, head of the Carrot service operations team, is presenting on "Strategies and Cases for Responding to Fraud on Secondhand Trading Platforms." Carrot

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The presentation covered technical measures such as detecting and blocking accounts, contact information, external messengers, and phishing URLs with a history of fraud, as well as institutional safeguards at the platform level to protect users, including the "Safe Payment" service, which holds payments until the buyer receives the item. In addition, various public-private cooperation systems were shared, such as integration with the National Police Agency's reporting system and collaboration with the Korea Internet & Security Agency (KISA) to block phishing sites.


Recently, Carrot has further advanced its anti-fraud system for secondhand trading to create a safer environment. The company has introduced an AI agent that comprehensively analyzes various types of information-such as user posts, chats, neighborhood verification, and mobile device data-to detect fraud patterns, and has significantly enhanced in-chat safety features and user notification functions.



Lim stated, "We will continue to advance our technology, establish institutional safeguards, and strengthen external cooperation to protect users and build a trustworthy trading environment."


This content was produced with the assistance of AI translation services.

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