Charleston Data Science Meetup

Decoding Cybersecurity Data with LLMs

The ultimate goal of this talk is to demonstrate how defenders can use data to uncover malicious activity using traditional ML techniques, such as EDA and classification, implemented with the help of various language models. By comparing language models' effectiveness in traditional ML tasks for cybersecurity applications, we aim to inspire creativity and resourcefulness among cybersecurity engineers. Through this journey from raw data to actionable models, we will highlight the vast potential ML and AI offer to redefine the field of cybersecurity.