Bright Duffour is a researcher at the University of the Potomac focused on cybersecurity, phishing detection, misinformation detection, and explainable artificial intelligence. His work explores practical and interpretable approaches to detecting deceptive digital content using lightweight rule-based and hybrid systems. He has developed systems such as AEGIS-MIS, a hybrid misinformation detection framework, and PhishGuard Lite, a rule-based phishing detection system designed for transparency and real-world usability. His research emphasizes explainability, efficiency, and deployability in security-focused AI systems. His broader interests include natural language processing, information security, and the design of practical AI systems that balance performance with interpretability.