2024-10-24 –, Europe - Main Room
In this talk, we evaluate classical AI prediction and recommendation approaches as a system for threat modelling facilitation. This approach should reduce the number of manual research activities and increase organization’s security.
We propose a simple, explainable, effective and fast threat analysis method, which is based on artificial intelligence and can support security experts in threat modelling, organization’s protection strategy planning, and allow them to quickly adopt suitable protection measures for current and future periods.
Roman is a Manager in Deloitte’s Consulting group in Austria and a Teamlead of the Pentesting- and Red-Teaming group. He joined Deloitte’s Cyber service line in Vienna in 2021 with a focus on Cyber Security. He has more than 15 years of experience in the IT Security industry. Roman has a strong penetration testing and cyber security background and experience with artificial intelligence.
From 2020 till 2021, prior to joining Deloitte, Roman worked as a consultant, pentester and DevSecOps engineer for a big consulting company. From 2009 till 2020 he was working as a pentester and researcher for one of the leading European Research Institutes, where he was responsible for penetration testing, threat modelling and AI application for security domain. He was also tasked with the planning, preparation and presentation of individual workshops for different target groups.