Company Filing History:
Years Active: 2019-2021
Title: The Innovations of Paul Radulovic
Introduction
Paul Radulovic is an accomplished inventor based in Seattle, Washington. He has made significant contributions to the field of intelligent security management, holding two patents that showcase his innovative approach to technology. His work focuses on analyzing documents and user behavior to enhance security measures.
Latest Patents
Radulovic's latest patents revolve around intelligent security management. One of his notable inventions involves analyzing a corpus of documents and other data objects stored for an entity to determine various topics for each document. The elements of these documents are assessed to assign a risk score. The types of topics and security elements, along with their associated risk scores, can be learned and adapted over time using advanced techniques such as topic modeling and random forest regression. Additionally, user activity is monitored, and expected behavior is determined using a trained recurrent neural network. Ongoing user activity is processed to identify any excessive deviations from expected behavior. This activity can also be compared against that of user peers to identify anomalies. For any detected anomalous activity, the risk scores of the accessed documents are analyzed to decide whether to generate an alert.
Career Highlights
Paul Radulovic is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in the realm of security management. His expertise in analyzing user behavior and document security has positioned him as a key player in his field.
Collaborations
Radulovic has collaborated with notable colleagues, including Alexander Watson and Daniel Brim, who contribute to the innovative environment at Amazon Technologies, Inc.
Conclusion
Paul Radulovic's contributions to intelligent security management reflect his commitment to innovation and technology. His patents demonstrate a forward-thinking approach to enhancing security through data analysis and user behavior monitoring.