AI & ML
impact 16
False Security Confidence in Benign LLM Code Generation
False Security Confidence in Benign LLM Code Generation arXiv:2604.17014v2 Announce Type: replace Abstract: Prior work has demonstrated that functionally correct yet vulnerable outputs arise systematically in threat-ori…
Why it matters
Context is key—false has been building for months. This development could accelerate changes in security.