Large Language Models and Cybersecurity
In the last few years, we have witnessed the rise of a new type of model, trained on large volumes of textual data. These models have been trained on terabytes of data by crawling text from the web, and they can have billions of parameters. This enables them to have improved natural language understanding abilities and to be used in various applications, from text classification to question-answering, chatbots, and similar. These models can be applied in cybersecurity as well, both by attackers and defenders. Additionally, systems with large language models themselves can be susceptible to various attacks.
In this chapter, we are going to cover the following main topics:
- From traditional Natural Language Processing (NLP), methods to LLMs
- LLMs for defensive security
- The security of LLMs
