Ines Mnif

• Collected security alerts and conducted in-depth investigations to identify the root causes of incidents . • Applied AI-driven techniques to automate the root cause analysis of security incidents in banking systems. • Evaluated system performance and delivered improvement recommendations for smarter threat detection. •Contributed to the implementation of AI-based cybersecurity solutions to detect cyber threats and strengthen resilience, with the goal of enhancing the continuity of critical services in the face of advanced cyber-physical threats.

• Enhanced the open-source 5Greplay solution by developing C-based plugins for specific protocol support. • Implemented traffic analysis scripts in Python and Shell to identify vulnerabilities and simulate cyber threats to critical hospital infrastructures. • Designed AI model with Reinforcement Learning for anomaly detection and cybersecurity fortification.