Securing AI Code Generation

Securing AI Code Generation

Leveraging Stack Overflow to address security vulnerabilities in LLM-generated code

SOSecure is a novel system that improves the security of code generated by Large Language Models by incorporating real-time knowledge from Stack Overflow discussions.

  • Addresses a critical gap in LLMs: their reliance on outdated pretraining data makes them unaware of newly discovered vulnerabilities
  • Implements a Retrieval-Augmented Generation (RAG) approach that fetches relevant security discussions from Stack Overflow
  • Demonstrates how community-driven insights can significantly reduce security vulnerabilities in AI-generated code
  • Provides a practical solution for organizations seeking to safely implement AI coding assistants

This research is vital for security teams as it offers a pathway to mitigate risks associated with automated code generation while leveraging the collective expertise of developer communities.

SOSecure: Safer Code Generation with RAG and StackOverflow Discussions

19 | 27