Artificial Intelligence (AI) and the Internet of Things (IoT) have transformed the landscape of physical security in facilities, offering intelligent, interconnected, and predictive security solutions. AI, which involves the simulation of human intelligence processes by machines, enables systems to analyze vast amounts of data, recognize patterns, and make autonomous decisions. IoT, on the other hand, connects physical devices over networks, allowing real-time data collection, monitoring, and control of security devices. When combined, AI and IoT provide facilities with highly efficient, proactive, and adaptive security mechanisms that significantly enhance safety and protection. One of the primary applications of AI in physical security is video surveillance. Modern AI-driven video analytics can process footage from multiple cameras simultaneously, detecting unusual behaviors, unauthorized access, or potential threats in real time. For example, AI algorithms can identify individuals based on facial recognition, monitor crowd density to prevent overcrowding, and detect suspicious movements or abandoned objects. Traditional surveillance systems relied heavily on human operators, which was time-consuming and prone to error. AI reduces this dependency, providing continuous, automated monitoring with higher accuracy. Furthermore, AI can integrate with IoT sensors, such as motion detectors or smart door locks, to trigger immediate responses when security breaches are detected, enhancing the overall responsiveness of the facility’s security framework. IoT devices are fundamental in creating a connected security ecosystem. Sensors, cameras, access control systems, alarms, and environmental monitors can all communicate through IoT networks, providing a comprehensive view of facility operations. For instance, smart locks connected to the IoT can be remotely monitored and controlled, ensuring that only authorized personnel can access sensitive areas. IoT-enabled motion sensors and entry detectors can alert security teams instantly about unauthorized access or unusual activity, allowing swift intervention. The integration of AI with these IoT devices allows predictive analysis, where potential security threats can be identified before they escalate. For example, AI can analyze patterns of door access or employee movement to detect anomalies, such as an unusual presence in restricted areas during off-hours, and alert security personnel preemptively.