LLM Code Review vs Deterministic SAST Security Tools

The article compares large language model (LLM)‑based code review with traditional deterministic static application security testing (SAST) tools. It highlights that while SAST tools like Semgrep and Checkov are effective for enforcing explicit security policies, they often struggle with subjective or complex scenarios, leading to either false positives or missed vulnerabilities. In contrast, LLMs can evaluate code more flexibly, identifying potential issues that may not be easily captured by predefined rules. The author discusses the benefits and limitations of both approaches, suggesting that integrating LLMs into the security workflow can complement traditional tools by addressing scenarios that require nuanced understanding. 

https://blog.fraim.dev/ai_eval_vs_rules/

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