Talk Abstract Software development is undergoing a major shift from human coding to AI generation. While the rise of “vibe coding” promises massive productivity gains, it introduces severe security risks. Our study on the SusVibes benchmark reveals that while frontier coding agents achieve 60% functional correctness, only 10% of their solutions are secure. To bridge this gap, we present AuraForge, a scalable method to synthesize comprehensive security tests. We further develop SecureVibe, a security alignment framework to train coding agents for better security planning, generation, supervisi…
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