LLM Security Guard for Code Article Swipe
Related Concepts
Computer science
Guard (computer science)
Benchmarking
Code (set theory)
Computer security
Software security assurance
Domain (mathematical analysis)
Source code
Software engineering
Programming language
Information security
Security service
Business
Mathematical analysis
Mathematics
Set (abstract data type)
Marketing
Arya Kavian
,
Mohammad Mehdi Pourhashem Kallehbasti
,
Sajjad Kazemi
,
Ehsan Firouzi
,
Mohammad Ghafari
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3661167.3661263
· OA: W4396811058
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3661167.3661263
· OA: W4396811058
Many developers rely on Large Language Models (LLMs) to facilitate software\ndevelopment. Nevertheless, these models have exhibited limited capabilities in\nthe security domain. We introduce LLMSecGuard, a framework to offer enhanced\ncode security through the synergy between static code analyzers and LLMs.\nLLMSecGuard is open source and aims to equip developers with code solutions\nthat are more secure than the code initially generated by LLMs. This framework\nalso has a benchmarking feature, aimed at providing insights into the evolving\nsecurity attributes of these models.\n
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