Reducing Noise: Hybrid Static Application Security Testing–Large Language Model Pipeline for Code Security

2026-05-13

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PRE

AI

DOI：10.1109/MSEC.2026.3675646

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摘要

En 中文

本文讨论了一种集成静态应用安全测试与大型语言模型的混合分诊流水线，以提供智能分诊和自动化漏洞利用生成，在实际部署中将误报率降低了91%。

Keyword:

Noise reduction

Large language models

Pipeline processing

Codes

Computer security

Software testing

Information integrity

Data integrity

Software development management

Computer security

Source coding

Natural language processing

Intelligent systems