Threat Sentinel Gpt Real Time Ai Framework For Detecting Security Threats and Generating Automated Alerts In Cyber Security and Physical Surveillance System

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 Pretrained
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 rolebased
access control. ThreatSentinelGPT
enhances situational awareness,
minimizes false positives, and reduces
response time, making it suitable for
smart cities, enterprises, and critical
infrastructure protection