Recently, the final of the 2025 Black and Grey Production Testing Skills Competition hosted by the Black and Grey Production Testing and Countermeasures Working Committee of the China Computer Industry Association in conjunction with the Shandong Internet Association and the Zhejiang Internet Association came to a successful conclusion. As a high-level domestic competition focusing on practical cybersecurity capabilities, this competition attracted more than 200 top teams from all over the country to compete on the same stage. Qifu Technology stood out with its deep security technology accumulation and actual combat capability. It won the “Team Gold Award” in the Black and Grey Technology Countermeasures Track Thunder Group. Wu Yechao, the company's information security expert, was awarded the “Excellent Coach Award”. The double honor highlights the company's hard-core strength in the field of financial anti-fraud technology.


As an AI-driven fintech platform, Qifu Technology has always placed financial security at the core of its strategic position. In terms of preventing and controlling telecommunication network fraud, the company has built a full-link defense system with a “mountain and sea” anti-fraud system as the core, and innovatively created a multi-dimensional research and judgment model of “domain name analysis+content features+AI risk analysis”. By extracting more than 20 types of key features such as URL structure, ICP filing authenticity, and IP information, the model accurately determines fraud suspicions and automatically triggers counterfeiting warnings. The accuracy rate of identifying fraudulent websites exceeds 95%, successfully solving industry pain points such as difficulties in identifying “zero sample” new types of fraud, slow variation and adaptation of methods, and incomplete risk traceability. Currently, the model processes 600,000 high-risk leads per day, outputs more than 1.22 million warnings from malicious websites, blocks more than 7,400 counterfeit websites/apps, blocks 28.7 million fraudulent transactions, and recovers 259 million yuan in economic losses, providing a solid guarantee for maintaining public property safety and financial order stability.
Wu Yechao said that the actual combat scenario of this competition is a litmus test for technical strength. Our core advantage is to deeply integrate cutting-edge technology with financial anti-fraud scenarios to greatly improve the accuracy and response rate of financial anti-fraud control. In the future, Qifu Technology will continue to deepen the application of AI models in the field of anti-fraud, actively share technical experience and practical results, promote the joint construction of industry anti-fraud technical standards, help the entire industry raise the level of risk prevention and control, and contribute more to fighting financial fraud and maintaining social security and stability.