Modeling Threat Vectors in Real-Time Using AI-Enhanced Surveillance Analytics Across Cyber, Land, Air, and Maritime Domains
Joshua Seyi Ibitoye · International Journal of Research Publication and Reviews · 2025
As global security dynamics become increasingly multifaceted, the ability to detect, interpret, and respond to evolving threat vectors across physical and digital domains has become paramount.Traditional surveillance and risk assessment systems are often siloed, reactionary, and incapable of processing the volume, variety, and velocity of data required for real-time situational awareness.With the convergence of cyber warfare, asymmetric threats, and kinetic operations across land, air, and maritime spheres, integrated surveillance analytics empowered by artificial intelligence (AI) offer a transformative solution.This study explores a comprehensive AI-enhanced threat modeling framework that synchronizes multi-domain surveillance data streams for predictive intelligence and realtime response.It proposes a unified architecture leveraging machine learning algorithms, computer vision, and natural language processing (NLP) to identify anomalous behaviors, detect intent, and model risk trajectories across cyber intrusions, aerial incursions, maritime violations, and ground-based threats.By fusing sensor data from satellites, drones, radar, SONAR, and digital telemetry, the system creates a holistic threat landscape capable of early-warning and preemptive mitigation.The paper further examines domainspecific use cases, such as AI-driven unmanned aerial surveillance in border security, behavioral analytics for cyber threat actor profiling, and deep learning techniques for autonomous maritime anomaly detection.Validation is supported by cross-domain datasets and stress-tested simulation environments to benchmark performance, accuracy, and response latency.In an era where threats are fluid and multidimensional, this approach provides actionable insights for defense agencies, policymakers, and critical infrastructure operators, ensuring robust threat anticipation and system resilience through intelligent, domain-aware surveillance integration.