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SECURITY SOURCE-BACKED TECHNICAL

Context-Aware Prompt Injection Detection via Small Language Models in RAG Pipelines: nokast-secureRAG

Local Retrieval-Augmented Generation (RAG) systems are vulnerable to indirect prompt injection and retrieval poisoning, where malicious instructions in retrieved content are mistaken for trusted input. We present nokast-secureRAG, a roughly 0.5B-parameter sma...

Source: arXiv · arxiv.org Published 2026-10-20T15:26:15+00:00 Detected 2026-10-21T13:26:29+00:00
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Local Retrieval-Augmented Generation (RAG) systems are vulnerable to indirect prompt injection and retrieval poisoning, where malicious instructions in retrieved content are mistaken for trusted input. We present nokast-secureRAG, a roughly 0.5B-parameter sma...

Local Retrieval-Augmented Generation (RAG) systems are vulnerable to indirect prompt injection and retrieval poisoning, where malicious instructions in retrieved content are mistaken for trusted input. We present nokast-secureRAG, a roughly 0.5B-parameter small language model that acts as a semantic firewall...

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Signal Strength 95% Technical label SOURCE-BACKED Public Interest 24 Category SECURITY Reader Depth TECHNICAL

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Public Interest components
Recognizable Entity Score 0 Practical Impact Score 8 Novelty Interest Score 70 Consequence Score 30 Curiosity Score 0 Shareability Score 42

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