Detection, validation, and sourcing of malicious ai-generated distributed data

Abstract

An information security method to detect, validate, source, and/or remediate propagated, maliciously generated, AI content is disclosed. Search-engine spider(s) to crawl the Internet to identify posted content, which is analyzed with signature-based detection, anomaly detection, and machine learning to identify suspect content, which is compared against validated content. A malicious-AI probability score is generated based on the results of the foregoing AI analysis and the content differences. Metadata corresponding to the suspect content is extracted. A malicious activity mapping is compiled from available data. Suspect content is attempted to be recreated by publicly available online AI bots to identify the AI engine that generated the malicious content. Metadata pertaining to the origination source that accessed the source AI bot. Metadata is used to trace the malicious content back to the originator. Proofs regarding the foregoing are generated. Notifications/demands may be generated. Countermeasures against future attacks may be deployed.