CyberGuard AI Threat Intelligence System

Designed and developed a full-stack AI-powered cybersecurity intelligence platform as the senior capstone at LCWU, covering the complete lifecycle from threat ingestion to automated reporting.

The platform delivers real-time threat monitoring, automated risk scoring using ML inference, incident lifecycle management, and role-based analytical dashboards tailored to different operator permission levels.

A threat prioritization engine surfaces the highest-severity indicators automatically, reducing manual triage overhead for security analysts and enabling faster incident response.

Integrates structured machine learning inference with a reporting module that generates actionable security briefs without requiring manual analyst input.