The growing demand for innovative home security solutions has accelerated the integration of advanced technologies to enhance safety, convenience, and operational efficiency. Artificial intelligence (AI) has become a pivotal element in revolutionizing home security systems by enabling real-time threat detection, automated surveillance, and intelligent decision-making. This study employs a systematic literature review (SLR) to explore recent advancements in AI-driven technologies, such as machine learning, computer vision, natural language processing, and the Internet of Things (IoT). These innovations enhance security by providing features like facial recognition, anomaly detection, voice-activated controls, and predictive analysis, delivering more accurate and responsive security solutions. Furthermore, this study addresses challenges related to data privacy, cybersecurity threats, and cost considerations while emphasizing AI’s potential to deliver scalable, efficient, and user-friendly systems. The findings demonstrate AI’s vital role in the evolution of home security technologies, paving the way for smarter and safer living environments.