This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Rafal Mzyk: Innovator in Data Protection Frameworks
Introduction
Rafal Mzyk is a notable inventor based in Kluczbork, Poland. He has made significant contributions to the field of data protection through his innovative patent. His work focuses on creating frameworks that enhance data classification and protection processes.
Latest Patents
Rafal Mzyk holds a patent for a "Pluggable data taxonomy and processing." This taxonomy-agnostic data protection framework includes a plugged-in data classification taxonomy definition with a taxonomy identifier and a set of data classification indicators. The framework also features a plugged-in set of data classification processing routines and a mapping mechanism that connects data classification processing routines with data classification indicators. This innovation facilitates efficient and accurate implementation of data classification propagation within programs and across networked systems. It allows for flexible data protection actions such as deletion, redaction, encryption, and more, based on individual or combined data classification indicators. Additionally, static analysis of annotated source code ensures that data classifications are accurately propagated within programs.
Career Highlights
Rafal Mzyk is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop and refine his innovative ideas. His work at Microsoft has allowed him to contribute to cutting-edge technology in data protection.
Collaborations
Rafal has collaborated with notable colleagues, including Martin Taillefer and Andrey Noskov. Their combined expertise enhances the development of innovative solutions in the field of data protection.
Conclusion
Rafal Mzyk's contributions to data protection frameworks exemplify the importance of innovation in technology. His patent reflects a commitment to improving data classification processes, which is crucial in today's data-driven world.
