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vulnerability-intelligence

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Built an AI-powered vulnerability intelligence platform using NVD, CISA KEV, EPSS, BGE embeddings, XGBoost, FAISS, SHAP, and Streamlit to predict exploit likelihood for 357K+ CVEs, achieving ROC-AUC 0.99 and PR-AUC 0.87.

  • Updated Jun 11, 2026
  • Jupyter Notebook

Unified AI-powered cybersecurity platform: phishing URL detection (Random Forest), CVE vulnerability intelligence (FAISS RAG over 350k+ NVD records), LLM threat narratives, AI incident response playbooks, asset-CVE correlation, and red-team URL simulation — built with FastAPI + Groq.

  • Updated Jun 13, 2026
  • JavaScript
vuln-intel-mcp

Agent-native CVE + bug-bounty-mechanic intelligence as a hosted MCP: ~365k CVEs fused (NVD/KEV/EPSS/OSV/SSVC) ranked exploitation-first, a fact-checker for hallucinated CVEs, and attack-mechanic transfer from ~14k disclosed reports — a memory of real mechanics to borrow and run.

  • Updated Jun 29, 2026

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