Abstract: The invention relates generally to the field of content authentication, and more particularly, to a system and methods for verifying the authenticity of content output to a user. In certain preferred embodiments, the content is verified by identifying the source data of the content, distributing the content, and authenticating the distributed content. Where the content has not been changed, the system may authenticate the content using a cryptographic hash. When minor changes to the content are made, the system may use a perceptual hash to authenticate the content. Further, the system may utilize machine learning algorithms to identify patterns between the same content in, for example, multiple formats and sizes. Advantageously, the content that is uploaded to the system may be used to train machine-learning models that the system may use to authenticate content that has been converted but unmanipulated.

Abstract: The invention relates generally to a system and methods for protecting content, and more particularly to a system and methods for monitoring and reporting use of content to prevent and redress misuses of the same or similar content. The system may be configured to receive content from a registered user either directly from a client device or indirectly from a third party platform. That content may be processed and assigned a priority score based on one or more parameters. Once processed, a monitoring process may be initiated to scan a network for use of the same or similar content. Instances of use may be recorded and used to produce a report including one or more selectable actions in response to each instance of use. Advantageously, the system may be configured to output a report to a user efficiently and effectively and further provide the user with one or more recommendations.