This white paper explores how Replit’s approach to securing AI-generated code, combining deterministic static analysis with LLM-driven reasoning, addresses key challenges in software security. It demonstrates that while LLMs can assist with intent and business logic, traditional scanning infrastructure is insufficient for identifying vulnerabilities. The research highlights the importance of a hybrid architecture – combining static analysis with prompt sensitivity and dependency scanning – for comprehensive protection.
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