This project focuses on building an AI-driven anomaly detection framework that uses the Isolation Forest algorithm to identify suspicious events in unstructured system log data.
python machine-learning process-tree log-analysis pyqt5 cybersecurity unsupervised-learning log-monitoring anomaly-detection isolation-forest explainable-ai xai threat-detection security-operations system-logs msticpy pivot-analysis ai-in-cybersecurity edr-logs soc-analytics
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Updated
May 26, 2025 - Python