AI-Powered Network Intrusion Detection with Wazuh SIEM

Built a machine learning-based intrusion detection system integrated with Wazuh SIEM to detect and classify network attacks in real time. Preprocessed network traffic data, extracted key features, and trained models to identify anomalies and malicious activities. Integrated alerts with Wazuh to enhance monitoring and security visibility. Delivered a scalable solution with reproducible code and documentation.