cybersec mpnet finetuned A cybersecurity domain sentence embedding model fine tuned from sentence transformers/all mpnet base v2 on 2,179 CTI Bench training pairs from two sources: CTI ATE — real threat intelligence report excerpts mapped to MITRE ATT&CK technique descriptions (from the STIX bundle) CTI MCQ — 2,500 cybersecurity MCQ questions covering ATT&CK, CWE, and CAPEC; 500 held out as evaluation set (before training, to prevent data leakage), 2,000 used for training Built as part of an Agentic Cybersecurity Threat Intelligence & Incident Response Advisor capstone project — a LangGraph based pipeline that ingests raw security logs, enriches IoCs via threat feeds (AbuseIPDB, VirusTotal, ThreatFox), maps to MITRE ATT&CK, and generates grounded incident response playbooks. Requirements This model was trained with sentence transformers 5.5.1. Older versions will fail to load due to internal module path changes introduced in 5.5.x. If you see a ModuleNotFoundError: No module named 'sentence transformers.base' error, upgrade: Usage Intended Use RAG retrieval over MITRE ATT&CK, CISA KEV, NVD CVE, and NIST SP 800 61 knowledge bases Semantic search across threat intelligence documents…
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