Every 1 of 3 AI-Generated Code Is Vulnerable: Exploring Insights with CyberSecEval

As Artificial Intelligence (AI) technology advances, people increasingly rely on Large Language Models (LLMs) to translate natural language prompts into functional code. While this approach is more practical in many cases, a critical concern emerges – the security of the generated code. This concern has been discussed in a recent article, Purple Llama CyberSecEval: A benchmark for evaluating the cybersecurity risks of large language models.The paper by Meta identifies two major cybersecurity concerns associated with LLMs: the potential for …

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