Her research project will carry out an AI-enabled cybersecurity assessment for critical infrastructures in Tanzania. Critical infrastructures such as health systems, energy systems, and data centers are vital for the functioning of society, making their safety a priority for all countries. Developing countries face pressing challenges such as hunger and limited access to education that leads to cybersecurity often being overlooked, leaving organizations and individuals vulnerable to cyberattacks. critical infrastructure. This project will collect and process datasets on cybersecurity incidents from the energy and health sectors, including user behavior, network traffic, system logs, and attack alerts. After understanding the activities and requirements of each sector, machine learning will be used to develop threat models that can assess risks based on the nature of the critical infrastructure. The researchers will engage stakeholders through interviews and surveys to identify and rank vulnerabilities in order of most critical. They will apply AI to predict potential cyber threats, evaluate the performance of the models and recommend mitigation strategies. A user-friendly AI-powered cybersecurity assessment web-based tool will also be developed for evaluation purposes. The AI-powered cybersecurity assessment models will democratize access to advanced cybersecurity capabilities for agencies and research institutions in developing countries.