Abstract: A video data loss prevention (vDLP) system that uses machine-learning for protection against data exfiltration of sensitive content across multiple tenants in a cloud-based network. The vDLP system consists of tenants that include end-user devices and a vDLP server. The vDLP server is configured to intercept traffic at an application layer of the cloud-based network and receive a video file from traffic. A viewer for the video file is remote from the cloud-based network. The vDLP server further recognizes text of audio and frames extracted from the video file using a machine-learning engine. The vDLP server then analyzes the frames and text using machine-learning classifiers, enforces policies against machine-learning classifiers for protection against data exfiltration of sensitive content in the video file, and sends a notification away from the cloud-based network upon detection of violation of a policy.