Mykyta Mudryi is a security consultant with K2 Integrity/Leviathan Security Group. A cybersecurity engineer with a strong focus on AI and ML safety, he brings experience across web- and mobile-application penetration testing, cloud and deployment reviews, fuzzing and binary analysis, and reverse engineering. Mykyta is proficient in Python, C/C++, and Rust, and applies machine learning and large language models to strengthen information security practices. His work combines practical offensive security experience with research-driven methods, supporting security reviews and testing approaches that are informed by both low-level analysis and modern AI techniques.
Mykyta has contributed to open-source security efforts, developing multiple fuzz targets for OSS-Fuzz that have led to the discovery of critical security issues. At K2 Integrity/Leviathan Security Group, Mykyta led an R&D initiative focused on binary fuzzing, developing a tool that significantly reduced the time required to identify and build fuzz targets.
Mykyta is pursuing a B.Sc. in computer science at the Polish-Japanese Academy of Information Technology; his bachelor’s thesis explores the use of graph neural networks for static source code analysis.