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Bullying is a serious problem that can disrupt the learning process and mental development of students, including in Islamic boarding schools. Early detection of bullying is essential to creating a safe and conducive learning environment. This study aims to apply the You Only Look Once (YOLO) algorithm to automatically detect bullying through video recordings in the environment of the SMK Skill Village Islamic School Business Boarding School. The method used involves collecting a video dataset representing various types of bullying behavior, labeling the data, and training an object detection model using the YOLOv5 algorithm. The developed system is capable of detecting and classifying bullying behavior in real- time with detection accuracy reaching [accuracy value if known]. The implementation of this system is expected to assist school authorities and boarding school administrators in monitoring, preventing, and addressing bullying incidents more quickly and effectively, while also serving as an initial step in leveraging artificial intelligence technology to create a safer and more comfortable educational environment.

APIs (Application Programming Interfaces) have become a key component in the development of modern digital products and the transformation of cloud-based services. Its ability to provide structured access to data and enable cross-platform integration makes APIs at the core of the enterprise's digital architecture. However, the high level of API openness poses increasingly complex security challenges, including potential data exploitation, injection attacks, credential misuse, and exploitation of business logic loopholes. This article examines the strategic role of APIs in the digital ecosystem, analyzes the operational risks that arise from API exposure, and evaluates the effectiveness of basic defense mechanisms such as API Gateways and Web Application Firewalls (WAFs). The findings of the study show that while both solutions play an important role in controlling access, filtering, and mitigating attacks at the surface layer, they have not been able to provide comprehensive protection against modern API threats that are dynamic, distributed, and often exploit weaknesses at the application and business logic levels. Therefore, a more holistic, layered, and sustainable API security approach is needed, including anomalous behavior detection, API abuse protection, and real-time monitoring to maintain the integrity and reliability of digital services.