A fine-tuned local Qwen 3.5 27B model achieves 95% category-level accuracy on security document classification, outperforming commercial models on both internal and external test sets while keeping processing local.
To the best of our knowledge, no actively maintained open-source DLP system currently offers comparable LLM-based cross-domain security document classification
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Security Document Classification with a Fine-Tuned Local Large Language Model: Benchmark Data and an Open-Source System
A fine-tuned local Qwen 3.5 27B model achieves 95% category-level accuracy on security document classification, outperforming commercial models on both internal and external test sets while keeping processing local.