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An end-to-end log analysis and threat detection system specifically designed for air-gapped and online environments using ML for anomaly detection and a custom offline update protocol.
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The project is a personal experiment with zero community traction (0 stars/forks). While it attempts to address a specific niche (air-gapped systems via 'SOUP'), the core architecture follows standard web application patterns (FastAPI/React) and commodity ML techniques for anomaly detection. It lacks the technical depth or data gravity required to be defensible against established SIEM/SOAR vendors or frontier lab security agents.
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