COGNNA Threat Intelligence is an AI-driven platform that collects, analyzes, and correlates threat data from global feeds, government advisories, open sources, and proprietary research. The platform enriches alerts with behavioral and geographical context, validating threats through automated correlation and sandbox analysis. The system integrates with SIEM, EDR, XDR, and TIP solutions to provide real-time threat detection and automated threat hunting capabilities. It processes indicators of compromise (IOCs), tactics, techniques, and procedures (TTPs) to identify hidden threats across networks, endpoints, and cloud environments. COGNNA uses AI agents to filter low-fidelity intelligence, prioritize validated threats, and trigger proactive hunting workflows. The platform provides a dynamic threat map with regional and global threat data, automated enrichment of security alerts, and sandbox analysis for validating suspicious files and behaviors. The solution aims to reduce mean time to respond (MTTR) through automated detection-to-hunting workflows and AI-guided recommendations. It generates compliance-ready reports and provides actionable intelligence for security operations centers. The cloud-native architecture scales on-demand to handle growing data volumes and threat feeds.