Jan. 30, 2024, 3:05 p.m. | MalBot

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In a previous article, we delved into CyberSecEval, a benchmark created by Meta to tackle primary security concerns surrounding Large Language Models (LLMs). These concerns include the potential for generated code to diverge from established security best practices and the introduction of exploitable vulnerabilities. In this blog post, we will take a step further and explore a comprehensive middleware called Llama Guard, as well as its potential usage in cyber threat detection.


Llama Guard is a revolutionary middle-layer …

ally article benchmark best practices blog blog post code detection environments exploitable vulnerabilities generated guard introduction language language models large llama llm llms meta practices security security concerns threat threat detection vulnerabilities

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