Blackcord

SENTINEL is an AI-powered cybersecurity threat detection and investigation platform designed to transform raw security events into actionable security intelligence. Traditional security monitoring systems generate large volumes of alerts, making it difficult for security teams to distinguish genuine threats from harmless activity. SENTINEL addresses this problem through event-driven monitoring, threat detection, incident correlation, and AI-assisted investigation. Built with FastAPI, a web-based frontend, Neon PostgreSQL, and Meta Model API, SENTINEL combines structured security-event processing with AI-powered analysis to help explain suspicious activity, identify supporting evidence, and recommend appropriate security responses. A key feature is its blinded evaluation framework, designed to measure missed incidents, false alerts, grouping accuracy, and incorrect event associations. The system has passed 46 automated tests and achieved 22/22 exact incident groupings on an authored practice dataset. Independent real-world accuracy validation remains ongoing. SENTINEL demonstrates how Meta's AI models can complement deterministic cybersecurity detection to make security investigations more accessible, explainable, and evidence-driven.