CNIPA.AI
검색으로 돌아가기
기록

GENERATIVE ARTIFICIAL INTELLIGENCE SECURITY ENGINE IN AN ITEM LISTING SYSTEM

발명심사 중
20청구항 · 3 독립항
§ Ⅰ

개요

발명자

Shaun Thomas JONES; Gary Duane BLAND, JR.; Jack Edward REARDON

IPC 분류

H4L 9/40G6N 3/455G6N 3/8

CPC 분류

H4L63/1425G6N3/455G6N3/8H4L63/1416

Methods, systems, and computer storage media for providing generative artificial intelligence (AI) security management using a generative AI security engine in an item listing system. A generative AI security engine supports generative AI security management based on security analysis and detection operations for a plurality of generative-AI-supported applications and generative AI models. In operation, a request associated with prompt data is communicated from a generative AI client. Based on communicating the request, a response that is generated based on a redacted version of the prompt data is received at the generative AI client. The prompt data is analyzed using a plurality of security engine operations to cause generation of the redacted version of the prompt data. The redacted version of the prompt data is used to generate the response at a generative AI model. The response is caused to be generated at an interface associated with the generative AI client.

원문 (중국어)

Methods, systems, and computer storage media for providing generative artificial intelligence (AI) security management using a generative AI security engine in an item listing system. A generative AI security engine supports generative AI security management based on security analysis and detection operations for a plurality of generative-AI-supported applications and generative AI models. In operation, a request associated with prompt data is communicated from a generative AI client. Based on communicating the request, a response that is generated based on a redacted version of the prompt data is received at the generative AI client. The prompt data is analyzed using a plurality of security engine operations to cause generation of the redacted version of the prompt data. The redacted version of the prompt data is used to generate the response at a generative AI model. The response is caused to be generated at an interface associated with the generative AI client.