THREATSENTINELGPT: REAL-TIME AI FRAMEWORK FOR DETECTING SECURITY THREATS AND GENERATING AUTOMATED ALERTS IN CYBERSECURITY AND PHYSICAL SURVEILLANCE SYSTEMS

Abstract

ThreatSentinelGPT is an intelligent realtime AI-based security framework designed to detect, analyze, and respond to security threats in both cybersecurity and physical surveillance environments. The system integrates machine learning, deep learning, and Generative Pre-trained Transformer (GPT) models to monitor network traffic, system logs, CCTV video streams, and IoT sensor data. By combining anomaly detection, computer vision, and natural language processing, the framework identifies suspicious activities and generates automated alerts with contextual explanations. The system ensures scalability, low latency, and reliability through real-time processing and role-based access control. ThreatSentinelGPT enhances situational awareness, minimizes false positives, and reduces response time, making it suitable for smart cities, enterprises, and critical infrastructure protection.