Marko Puk is an IT Consultant at Poslovna inteligencija. He works on various data-related projects, including data analysis, workflow development, and the utilization of emerging trends to add value to data. Lately, his work has been primarily focused on Sentence Transformer models and their integration into end products.
He is passionate about solving real-world problems using his acquired knowledge and skills, and he assists clients in resolving their issues. Marko holds a master’s degree in Computer Science from the University of Zagreb.
Sentence transformers in Cyber security
In this session, my main goal is to describe the implementation of a cybersecurity solution using Sentence Transformer models in a real project. Our aim was to make all known cyber threats easily accessible to cybersecurity experts with just a few clicks.
I will discuss how we began by identifying the problem, used the beneficial capabilities of the aforementioned models, and developed a component that now forms part of the Cyber Security Analysis toolbox. Following the explanation of the modeling process, I will dive into the solution’s architecture and how we ensured its resilience to changes and high availability.