US 12,316,647 B1
Video data loss prevention (vDLP)
Stevan W. Pierce, Jr., Camas, WA (US); Damian Charles Chung, Gilbert, AZ (US); Robert Wayne Butler, Rockport, IL (US); and Madhura Sridhar, Hillsboro, OR (US)
Assigned to Netskope, Inc., Santa Clara, CA (US)
Filed by Netskope, Inc., Santa Clara, CA (US)
Filed on Jan. 31, 2024, as Appl. No. 18/429,171.
Int. Cl. H04L 9/40 (2022.01)
CPC H04L 63/1408 (2013.01) [H04L 63/20 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A video data loss prevention (vDLP) system that uses machine-learning for protection against data exfiltration of sensitive content across a plurality of tenants in a cloud-based network, the vDLP system comprises:
a tenant of the plurality of tenants in the cloud-based network, the tenant includes a plurality of end-user devices; and
a vDLP server operable to:
intercept traffic at an application layer of the cloud-based network;
receive a video file from traffic within the cloud-based network, wherein a viewer for the video file is remote from the cloud-based network;
recognize text of audio and a plurality of frames extracted from the video file using a machine-learning engine;
analyze the plurality of frames and text for the video file using a plurality of machine-learning classifiers;
enforce a plurality of policies against the plurality of machine-learning classifiers for protection against data exfiltration of the sensitive content in the video file, wherein the machine learning classifiers are used to recognize the sensitive content and unauthorized data and appropriately handle the sensitive content according to the plurality of policies; and
in response to enforcing the plurality of policies, send a notification away from the cloud-based network upon detection of violation of a policy of the plurality of policies.