Faheem is a cybersecurity researcher specializing in threat detection, digital forensics, and AI-integrated security workflows. Focused on understanding how systems break, he builds high-fidelity detection mechanics and monitors behavioral logs by stress-testing SOC environments with Wazuh, Splunk, and Suricata.
He combines defensive engineering with DFIR (Windows/Linux triage), AppSec, and network segmentation. He also develops AI-driven automation agents, vulnerability modeling, and deepfake detection systems to protect critical infrastructure against advanced adversary tactics.
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