Cyber Sentinel AI is an AI-powered cybersecurity investigation platform designed to help users quickly analyze potential cyber threats through a collaborative multi-agent workflow. Instead of relying on a single AI model, the platform separates responsibilities across specialized agents for threat analysis, independent verification, and incident response generation. Users can investigate suspicious emails, URLs, prompt injection attempts, and browser extension permissions through a unified interface. Each investigation follows a structured pipeline that combines rule-based evidence collection with AI reasoning to generate actionable recommendations, a dynamic security score, an investigation timeline, and persistent history. The backend is built with FastAPI, containerized using Docker, and designed with a modular architecture that makes it easy to add future investigation modules such as ransomware behavior analysis, live threat intelligence, and ROCm-powered local inference on AMD GPUs. Cyber Sentinel AI demonstrates how multi-agent systems can improve the accuracy, transparency, and usability of cybersecurity investigations while providing a scalable foundation for future security automation.
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