.png)
WebRAY Wins 2nd Place in AI-Powered Cybersecurity Competition
Publication date：2025/09/18
On September 15, 2025, the results of the "2025 AI-Driven Cybersecurity Application Test" were announced: WebRAY's Fenghuotai Laboratory stood out among 51 elite teams in the "Noise Reduction for Cybersecurity Alert Logs" scenario, winning the second place nationwide.
Fenghuuotai Lab Tackles the Challenge with Transformer Technology
There are seven practical scenarios in this competition. In the “Noise Reduction for Cybersecurity Alert Logs” scenario, participating teams are required to utilize AI technology to accurately identify genuine attack incidents from a large amount of log data, and output key information such as attack types and Indicators of Compromise (IOCs).
WebRAY's Fenghuotai Lab innovatively employed Transformer technology to build a multimodal alarm noise reduction model. By integrating years of practical experience in log analysis, the team achieved efficient processing of multidimensional data, including timestamps, request content, and other relevant parameters.
The team not only advanced to the offline round with an outstanding F1 score, but also took the lead in submitting results in Phase II. Ultimately, it delivered exceptional performance across core metrics such as accuracy and false alarm rate.
Fenghuuotai Lab
As the core R&D engine of WebRAY, Fenghuotai Lab serves as the primary hub for cutting-edge offensive and defensive technology research and talent development. It has provided critical technical support for the resolution of multiple major cybersecurity incidents.
The lab focuses on four core areas: vulnerability discovery, log analysis, threat intelligence, and behavioral detection. It has built a robust R&D framework powered by artificial intelligence and big data analytics. In November 2024, the lab was successfully selected as a think tank member of the World Internet Conference, signifying its recognition by an international-level platform.