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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

Provenance-first OSINT/security intelligence feed CLI. Every item ships a real source URL, a real timestamp, and an explicit live/fallback flag -- CISA-KEV, Cloudflare Radar, Reddit, Telegram, and GDELT, with a CI-enforced no-fabrication test suite.

  • Updated Jul 22, 2026
  • Python

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