The finals of the 2025 Black and Gray Industry Detection Skills Competition, jointly organized by the Black and Gray Industry Detection and Countermeasure Working Committee of the China Computer Industry Association, the Shandong Internet Association, and the Zhejiang Internet Association, recently concluded successfully. As a high-level competition in China focused on practical cybersecurity capabilities, this event attracted over 200 top teams from across the country to compete on the same stage. Qifu Technology stood out with its profound security technology expertise and practical problem-solving capabilities, winning the "Team Gold Award" in the Thunder Group of the black and gray industry technical countermeasures track, while the company's information security expert Wu Yechao was honored with the "Outstanding Coach Award," with the dual honors highlighting the company's 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 focus. In the prevention and governance of telecom and online fraud, the company has built a full-chain defense system centered on its "Shan Hai" anti-fraud system, innovatively creating a multi-dimensional analysis model combining "domain name resolution + content features + AI risk analysis." This model extracts over 20 types of key features, such as URL structure, authenticity of ICP filings, and IP information, and combines them with a fraud rule engine, machine learning models, and a million-scale black industry sample database to accurately determine fraud suspicion and automatically trigger imitation warnings, achieving a fraud website identification accuracy rate of over 95% and successfully addressing industry pain points like the difficulty of identifying new "zero-sample" fraud types, slow adaptation to evolving tactics, and incomplete risk tracing. Currently, the model processes 600,000 high-risk leads daily, has cumulatively issued over 1.22 million malicious website warnings, blocked more than 7,400 imitation websites/APPs, prevented 28.7 million fraudulent transactions, and recovered economic losses amounting to 259 million yuan, providing a solid guarantee for safeguarding public property security and stabilizing financial order. Wu Yechao stated that the practical scenarios of this competition are a touchstone for technical capability, and their core advantage lies in the deep integration of cutting-edge technology with financial anti-fraud scenarios, significantly enhancing the precision and response rate of financial anti-fraud governance. In the future, Qifu Technology will continue to deepen the application of large AI models in the anti-fraud field, actively share technical experience and practical results, promote the joint development of industry anti-fraud technical standards, assist the entire industry in improving risk prevention and control capabilities, and contribute more power to combating financial black and gray industries and maintaining social safety and stability.