Artificial Intelligence (AI) and the Internet of Things (IoT) have dramatically transformed physical security systems, bringing a new era of smarter, more efficient, and proactive safety measures in facilities. Their integration has improved real-time monitoring, threat detection, and response capabilities, allowing for a more secure environment in both public and private spaces. By enhancing traditional security systems, AI and IoT create interconnected networks that help predict, prevent, and manage potential security risks. The role of AI in physical security is to enable systems to learn from data, recognize patterns, and make decisions that are often faster and more accurate than human responses. AI is used in various forms such as facial recognition, video surveillance, anomaly detection, and predictive analytics. In video surveillance, for example, AI can identify suspicious behavior or unauthorized access and alert security personnel immediately. It goes beyond simple motion detection by analyzing context, such as the way someone is moving or the time of day, to assess whether their behavior is abnormal. This is more advanced than traditional systems that may only trigger alarms based on simple motion or infrared sensors, which often result in false positives. Facial recognition technology is another significant application of AI. It provides an automated method of identifying people based on their facial features, which can be particularly useful in high-security areas such as airports, corporate offices, and government buildings. The system compares real-time images captured by cameras against databases of known individuals, providing access control and enhanced security. This technology is also being used to