Lean and Mean: How We Fine-Tuned a Small Language Model for Secret Detection in Code
wiz.io | blog | #ai-security | #llm | #machine-learning | #code-security | #secrets-detection | #wiz-research | #small-language-model
Summary
Wiz engineers fine-tuned a 1B-parameter Llama model to spot secrets in code, hitting 86% precision and 82% recall on standard CPUs — beating regex without the cost and privacy issues of large LLMs.
- Published
- Collected
--- id: 7016 title: "Lean and Mean: How We Fine-Tuned a Small Language Model for Secret Detection in Code" source_domain: wiz.io source_url: "https://www.wiz.io/blog/small-language-model-for-secrets-detection-in-code" published_at: "2025-06-10T16:01:49Z" tags: ["ai-security", "llm", "machine-learning", "code-security", "secrets-detection", "wiz-research", "small-language-model"] phying_url: "https://phying.com/item/7016" lang: en --- # Lean and Mean: How We Fine-Tuned a Small Language Model for Secret Detection in Code ## Summary Wiz engineers fine-tuned a 1B-parameter Llama model to spot secrets in code, hitting 86% precision and 82% recall on standard CPUs — beating regex without the cost and privacy issues of large LLMs. ## Intelligence Metadata - **Sources:** wiz.io - **Published:** 2025-06-10T16:01:49Z - **Original:** https://www.wiz.io/blog/small-language-model-for-secrets-detection-in-code - **Phying News:** https://phying.com/item/7016