Immutable watermarking for authenticating and verifying ai-generated output

Abstract

Embodiments are directed to immutable watermarking for authenticating and verifying artificial intelligence (AI)-generated output. An embodiment of a system includes a processor of a monitoring system, wherein the processor is to: receive first content from an edge device and second content from an adversary system, wherein the first content comprises output of a machine learning (ML) model as applied to captured content at the edge device; receive a digital signature corresponding to the first content; process the digital signature to extract a global unique identifier (GUID) of the ML model that generated the first content; verify the extracted GUID against data obtained from a shared registry; in response to successfully verifying the extracted GUID, provide the first content for consumption at a monitoring consumption application; and in response to determining that the second content is not associated with a verifiable GUID, refuse the second content at the monitoring consumption application.