An AI-powered cloud threat detection system with a full MLOps lifecycle multi-source log ingestion, unsupervised anomaly detection, MITRE ATT&CK mapping, CVE enrichment, and a Claude-powered SOC analyst, all wired into a Kubeflow pipeline that trains, gates, and deploys to KServe automatically.
cloud cve unsupervised-learning mitre-attack mlops kubeflow-pipelines mlops-workflow mlops-template kserve mlos-project claude-ai soc-analyst ml-platform-workflow mdlc
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Updated
Apr 22, 2026 - Jupyter Notebook