SCS-Code: Security Concept Steering for LLM Code Generation — No Retraining, No Latency Impact, Measurably Fewer Vulnerabilities

arXiv·medium signal

Researchers demonstrate that Code LLMs frequently generate functionally correct but insecure code. SCS-Code uses internal representation steering to guide models toward secure code generation without retraining, manual labeling, or measurable inference latency impact. The lightweight approach operates on the model's activation space, steering away from vulnerability-associated directions while preserving functional correctness. Directly addresses the AI-generated code CVE explosion reported this month.