Cybersecurity Reasoning System
Detection, Analyze, and Patch bugs in your codebase with LLM Agents - All in one system.
A Letter to Our 42-b3yond-6ug Team, Collaborators, and Supporters — From the Heart
Xinyu reflects on 42-b3yond-6ug’s AIxCC run, noting strong results in bug finding and SARIF judgment but a critical submission bug that crippled patch scores. He acknowledges the team’s sacrifices, celebrates key achievements, and affirms the result does not define their work.
Two-year Recap: A Story of 42-b3yond-6ug and AIxCC
Dang reflects on his two-year journey in AIxCC. He provides an overview of the competition structure, technical requirements, and our team's CRS. He also analyzes competing teams' approaches, and concludes with lessons learned about balancing stability with innovation.
42-b3yond-6ug's podcast with CTF Radiooo
Adamd and Zardus chat with Xinyu, Dang, Ziyi, and Xinqian from the AIxCC team 42-b3yond-6ug. The team highlights the importance of stability, testing, and collaboration. They share insights on their cyber reasoning system, fuzzing strategies, and the impact of AI models on their work. The team reflects on their experiences, lessons learned, and future aspirations in the field of cybersecurity.
DefCon: AIxCC Mid-Year Finals Check-in
Wenxuan and Zheng engage with organizers during the mid-year finals check-in interview to discuss their AIxCC approach and the evolution of their CRS from the semifinals. They examine how advances in AI and LLM have influenced modifications to their CRS architecture.
DefCon: Introduction to the team
Wenxuan and Zheng introduce their team, 42-b3yond-6ug, and their approach to the AIxCC competition. They discuss their background, the team's formation, and their vision for the CRS.
Safeguarding Critical Software Infrastructure through Novel AI Systems | Northwestern
A Northwestern Computer Science team led by Xinyu Xing and Yan Chen are advancing to the final competition of the DARPA and ARPA-H AI Cyber Challenge.
