Security auditing is broken.
If you’ve ever run a static analysis tool (SAST) on a large codebase, you know the pain: thousands of alerts, zero context, and a 90% false-positive rate. On the other end of the spectrum, hiring human penetration testers is incredibly expensive and impossible to scale alongside modern CI/CD pipelines.
For the Qwen Cloud Global AI Hackathon, we decided to rethink the problem entirely. What if, instead of using a single monolithic AI to "find bugs," we built an entire specialized civilization of agents?
Meet NEXUS, an autonomous society of 10 distinct AI agents that discovers, triages, exploits, patches, and reports security vulnerabilities in real open-source software.
Instead of asking an LLM to "find a bug and fix it" (which usually results in hallucinations), we split the vulnerability lifecycle into 10 distinct, highly-specialized roles.
