MITRE-SAGE: A Multi-Agent Cybersecurity Question-Answering model
2.60T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.16921.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA multi-agent retrieval-augmented generation framework (MITRE-SAGE) for cybersecurity question-answering that decomposes tasks into query interpretation, evidence retrieval, and answer synthesis. A new 3,000-pair benchmark (MITRE-QA) is introduced, and a lightweight Qwen2.5-7B/14B configuration outperforms standalone LLMs and conventional RAG on five of eight tasks.
Why it mattersConcrete multi-agent RAG architecture with stated model sizes and a new evaluation benchmark, serving as a reference design for domain-specific agentic QA pipelines.
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