Sicherheit gegen Identitätsdiebstahl bei Anwendungen Generativer Künstlicher Intelligenz

Details

Veröffentlichungs-Nr.

EP4749499

Anmeldetag

20. November 2025

Veröffentlichung

27. Mai 2026

Rechtsraum

EP

Abstract

Security against identity theft in generative artificial intelligence applications includes receiving, from a user computing device, an online user prompt to a large language model (LLM), the online user prompt associated with a user identifier, tokenizing the online user prompt to generate a target set of tokens, and tagging each token in the target set based on parts of speech to obtain a tagged target set. Security further includes processing, by a vector embedding model, the tagged target set to generate multiple vector embeddings, processing, by a sequential model, the vector embeddings to generate a target vector, processing, by an anomaly detection model using or trained with a signature of the user identifier, the target vector to detect whether user impersonation exists. Security further includes blocking, in real time with receiving the online user prompt, access to the LLM based on detecting that user impersonation exists.

Anmelder

Firma

Intuit Inc.

Land

🇺🇸 USA