LLM Security Guard for Code

Fuente: arXiv
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Bibliographic Details
Main Authors: Kavian, Arya, Kallehbasti, Mohammad Mehdi Pourhashem, Kazemi, Sajjad, Firouzi, Ehsan, Ghafari, Mohammad
Format: Preprint
Published: 2024
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author Kavian, Arya
Kallehbasti, Mohammad Mehdi Pourhashem
Kazemi, Sajjad
Firouzi, Ehsan
Ghafari, Mohammad
author_facet Kavian, Arya
Kallehbasti, Mohammad Mehdi Pourhashem
Kazemi, Sajjad
Firouzi, Ehsan
Ghafari, Mohammad
contents Many developers rely on Large Language Models (LLMs) to facilitate software development. Nevertheless, these models have exhibited limited capabilities in the security domain. We introduce LLMSecGuard, a framework to offer enhanced code security through the synergy between static code analyzers and LLMs. LLMSecGuard is open source and aims to equip developers with code solutions that are more secure than the code initially generated by LLMs. This framework also has a benchmarking feature, aimed at providing insights into the evolving security attributes of these models.
format Preprint
id arxiv_https___arxiv_org_abs_2405_01103
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle LLM Security Guard for Code
Kavian, Arya
Kallehbasti, Mohammad Mehdi Pourhashem
Kazemi, Sajjad
Firouzi, Ehsan
Ghafari, Mohammad
Software Engineering
Cryptography and Security
Many developers rely on Large Language Models (LLMs) to facilitate software development. Nevertheless, these models have exhibited limited capabilities in the security domain. We introduce LLMSecGuard, a framework to offer enhanced code security through the synergy between static code analyzers and LLMs. LLMSecGuard is open source and aims to equip developers with code solutions that are more secure than the code initially generated by LLMs. This framework also has a benchmarking feature, aimed at providing insights into the evolving security attributes of these models.
title LLM Security Guard for Code
topic Software Engineering
Cryptography and Security
url https://arxiv.org/abs/2405.01103