MITRE-SAGE: A Multi-Agent Cybersecurity Question-Answering Model

arXiv:2608.16921 · cs.IR, cs.CR, cs.LG, cs.MA · Submitted 2026-08-03 · Read on arXiv

cs.IR, cs.CR, cs.LG, cs.MA

Submitted: 2026-08-03

Updated: 2026-08-30

Code: https://github.com/alihabib9999/MITRE-QA

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 28× in this paper · explained in 2 episodes
• RAG — 23× in this paper · explained in 3 episodes
• Question Answering — 11× in this paper
• Knowledge Graph — 8× in this paper · explained in 7 episodes
• Entity Identification — 7× in this paper
• Multi-hop Reasoning — 7× in this paper · explained in 3 episodes
• Grounding — 6× in this paper · explained in 3 episodes
• Hallucination — 6× in this paper · explained in 3 episodes
• Alert Fatigue — 5× in this paper · explained in 1 episode
• Entity Attribute Retrieval — 5× in this paper
• Threat Profiling — 5× in this paper
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Multi-Agent Framework — 4× in this paper · explained in 3 episodes
• Semantic Similarity — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Aggregation — 3× in this paper · explained in 1 episode
• Conceptual Understanding — 3× in this paper
• Consistency — 3× in this paper · explained in 3 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Retrieval-Augmented Generation — 3× in this paper
• Actor — 2× in this paper · explained in 3 episodes
• Agentic System — 2× in this paper · explained in 2 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Relation-Aware Entity Attribute Retrieval — 2× in this paper
• Security Operations Center — 2× in this paper
• Agent Interactions — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Entity Grounding — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• National Institute of Standards and Technology — 1× in this paper
• Ontology — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Reciprocal Rank Fusion — 1× in this paper
• Redundancy — 1× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Structural Reasoning — 1× in this paper · explained in 2 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes
• Verifiability — 1× in this paper · explained in 2 episodes

Sources

• Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals
• LightRAG: Simple and Fast Retrieval-Augmented Generation
• Improving Retrieval for RAG based Question Answering Models on Financial Documents
• CyberPal.AI: Empowering LLMs with Expert-Driven Cybersecurity Instructions
• MoRSE: Bridging the Gap in Cybersecurity Expertise with Retrieval Augmented Generation
• AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence
• SecureBERT 2.0: Advanced Language Model for Cybersecurity Intelligence

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