AEGIS IP : Autonomous Counterfeit Radar

Global brands lose billions of dollars annually to counterfeit products and IP theft scattered across thousands of e-commerce storefronts. Traditionally, legal teams hunt for these infringements manually, a slow, reactive, and highly inefficient process. AEGIS IP revolutionizes this workflow by acting as an autonomous, enterprise-grade reconnaissance radar. Designed to bridge Security, Compliance, and Finance, AEGIS IP is a unified web-data engine. The system operates through three core layers: Automated Reconnaissance: Utilizing Bright Data's Web Unlocker and Scraping Browser, the system bypasses aggressive anti-bot defenses to extract live product listings, high-resolution images, and seller metadata at scale without getting blocked. The Vision Engine: Raw data is piped into our Python/FastAPI backend where a Convolutional Neural Network (CNN) takes over. The model visually inspects product images to detect microscopic anomalies in logos and patterns. It cross-references visual confidence scores with pricing data and keyword flags (such as "1:1 replica") to validate counterfeit threats. Executive Command Center: Results are pushed to a Next.js dark-mode dashboard. Instead of raw JSON logs, stakeholders see a live global threat heatmap, real-time financial impact metrics (calculating ROI on intercepted goods), and a live interception feed. AEGIS IP goes beyond monitoring, it takes action. With a single click, the dashboard auto-generates and issues DMCA takedown notices, transforming heavy AI processing into seamless business protection.