RAVEN: Agentic RAG for Automated Vulnerability Repair
Automated vulnerability repair has emerged as a promising direction to mitigate the growing number of software vulnerabilities. Recent advances in Large Language Models (LLMs) have further accelerated research in automated repair. However, existing frameworks remain largely restricted to memory-related vulnerabilities and locally repairable vulnerability settings, leaving generalization to unseen vulnerability types underexplored. Their evaluations are often limited to a single programming language, and largely rely on proprietary models. In this paper, we propose RAVEN, a scalable, efficient and autonomous framework that integrates an agentic retrieval-augmented generation (RAG) pipeline...
| Authors | Varun Gadey, Zijie Liu, Alexandra Dmitrienko |
|---|---|
| Primary category | cs.CR |
| Published | 21 June 2026 |
| Last updated at source | 21 June 2026 |
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