Security Tools Based on Large Language Models

Jiaxin Li; Baocheng Wang; Yiwei Wei; Jiaxin Dong; Fang He

doi:10.26689/ssr.v7i9.12385

Jiaxin Li Rocket Force University of Engineering, Xi’an 710025, China
Baocheng Wang Rocket Force University of Engineering, Xi’an 710025, China
Yiwei Wei Rocket Force University of Engineering, Xi’an 710025, China
Jiaxin Dong Rocket Force University of Engineering, Xi’an 710025, China
Fang He Rocket Force University of Engineering, Xi’an 710025, China

DOI: https://doi.org/10.26689/ssr.v7i9.12385

Keywords: Large language model, SAFE verification tools, Data security, Threat detection

Abstract

This article focuses on the field of security tools based on large language models (LLMs), systematically reviewing the core products, security strategies, and technical solutions launched by leading US technology companies and research teams in 2024. In June 2024, OpenAI released its security strategy for large language models and a user data protection plan. The former established a multi-dimensional protection system covering infrastructure, sensitive data/model weight protection, and model review, while the latter enhanced privacy protection by giving ChatGPT users the right to choose how their data is used and by default restricting the use of some data for training purposes.

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