Nishant Abhishek, Ping Charoenwet, Kla Tantithamthavorn · 2026 · arXiv
DOI: 10.48550/arXiv.2610.27383 · open-access PDF
Menemukan kerentanan awal, sebelum mereka dapat mempengaruhi sistem produksi, penting untuk mengurangi risiko serangan perangkat lunak apa pun. Namun, mendeteksi kerentanan selama review kode aman masih sulit karena logika kode yang rentan mungkin bergantung pada garis yang ditemukan di berbagai file repositori. Pendekatan terbaru seperti AgenticSCR telah menunjukkan bahwa agen LLM dapat mengeksplorasi file repositori dan menggunakan pengetahuan keamanan untuk meningkatkan review kode aman.
Machine translation (Meta M2M100); the English original follows.
Finding vulnerabilities early, before they can affect the production system, is important for reducing the risk of any software attacks. However, detecting vulnerabilities during secure code review is still difficult because the vulnerable code logic may depend on lines found across different repository files. Recent approaches such as AgenticSCR have shown that LLM agents can explore repository files and use security knowledge to improve secure code review. However, these approaches mainly rely on external commercial LLMs and can provide a large amount of security knowledge to the agent at on
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