Abstract
Large Language Models (LLMs) are artificial intelligence (AI) tools that can process, summarize, and translate texts and predict future words in a sentence, letting the LLM generate sentences similar to how humans talk and write. One concern that needs to be flagged is that, often, the content generated by different LLMs is inaccurate. LLMs are trained on code that can be used to detect data breaches, detect ransomware, and even pinpoint organizational vulnerabilities in advance of a cyberattack. LLMs are new but have unbelievable potential with their ability to generate code that brings awareness to cyber analysts and IT professionals. That is why cybersecurity professionals must raise awareness of the threats these LLMs present and what are the best ways to minimize these threats.
Faculty Advisor/Mentor
Iria Giuffrida
Document Type
Paper
Disciplines
Artificial Intelligence and Robotics | Information Security
DOI
10.25776/y70f-hf22
Publication Date
5-31-2023
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What Effects Do Large Language Models Have on Cybersecurity
Large Language Models (LLMs) are artificial intelligence (AI) tools that can process, summarize, and translate texts and predict future words in a sentence, letting the LLM generate sentences similar to how humans talk and write. One concern that needs to be flagged is that, often, the content generated by different LLMs is inaccurate. LLMs are trained on code that can be used to detect data breaches, detect ransomware, and even pinpoint organizational vulnerabilities in advance of a cyberattack. LLMs are new but have unbelievable potential with their ability to generate code that brings awareness to cyber analysts and IT professionals. That is why cybersecurity professionals must raise awareness of the threats these LLMs present and what are the best ways to minimize these threats.