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This project automates SOC workflows using Wazuh, Shuffle, and TheHive. It involves setting up a Windows 10 client with Sysmon and Ubuntu 22.04 for Wazuh and TheHive, deployed on cloud or VMs. Goals: automate event collection, alerting, and incident response to enhance SOC efficiency.
A Python utility for shuffling and augmenting image data stored as .npy files. Designed to enhance machine learning datasets by generating randomized variations of image arrays through grid-based shuffling, split operations, and rotations.
This project automates SOC workflows using Wazuh, Shuffle, and TheHive. It deploys a Windows 10 endpoint with Sysmon and Ubuntu 22.04 servers on cloud or VMs to centralize event collection, automate alerting, and streamline incident response, improving SOC efficiency and response time.