Decoding cybersecurity data with ML and AI
The next generation of cybersecurity engineers will be data engineers who happen to specialize in cybersecurity. This talk aims at showing how cybersecurity engineers can benefit from today’s technology to make sense of the sea of data that they are gathering. Currently, we are constantly bombarded with information about GPT, ML, AI, and a variety of abbreviations. The question is, though, how can we as cybersecurity engineers capitalize on these tools? I will answer this question with a concrete example of the usage of ML and AI from the perspective of a cybersecurity researcher. The goal of this project is to invent creative ways of deciphering cybersecurity data with ML and AI.
Xenia Mountrouidou
Senior Security Researcher
Xenia Mountrouidou is a Senior Security Researcher at Cyber adAPT with versatile experience in academia and industry. She has over 10 years of research experience in network security, machine learning, and data analytics for computer networks. She enjoys writing Python scripts to automate boring things, finding interesting patterns with machine learning algorithms, and researching novel intrusion detection techniques. Her research interests revolve around network security, Internet of Things, intrusion detection, and machine learning.