Abdelmoussaouir Ezzarouali

During my cybersecurity internship, I leveraged AI to enhance threat detection by developing a Python-based tool that uses NLP (sentence transformers) to predict MITRE ATT&CK techniques from Wazuh alerts, improving SOC efficiency. I also integrated Wazuh with MITRE ATT&CK, mapping detection rules to TTPs for better threat visibility. Additionally, I built a GUI application to automate Sigma-to-Wazuh rule conversion and simulated a SOC environment using Wazuh, TheHive, and Shuffle for automated incident response. This experience allowed me to apply AI-driven solutions in cybersecurity while strengthening my skills in threat intelligence and detection engineering.

During my cybersecurity internship, I monitored threats using Wazuh, configured Sophos security tools, and developed a Python port scanner for vulnerability detection. I also installed and set up CISO Assistant to streamline compliance management. This hands-on experience strengthened my technical skills in proactive security measures and risk assessment.

During my internship at F.O.N des travaux métalliques, I had the opportunity to work on a real-world web development project. I played a key role in creating a fully functional website using HTML and CSS.