Hani Hana Neuvirth

Title: Hani Hana Neuvirth: Innovator in Machine Learning and Incident Analysis

Introduction

Hani Hana Neuvirth is a notable inventor based in Tel Aviv, Israel. She has made significant contributions to the field of machine learning and incident analysis, holding a total of five patents. Her work focuses on developing systems that enhance the identification and prediction of incidents and malicious entities.

Latest Patents

One of her latest patents is titled "Identification of similar incidents based on similarity scores." This invention involves an apparatus that includes a processor and memory, which store machine-readable instructions. When executed, these instructions enable the processor to receive event data for a subject incident and filter a set of candidate incidents based on assigned similarity scores. The processor then identifies and outputs a predefined number of candidate incidents based on these scores.

Another significant patent is the "Method and system for predicting malicious entities." This computer-implemented method trains a machine learning model using a variety of signal records. Each record comprises an entity identifier, a signal identifier, and a timestamp. The trained model can then determine if an entity is malicious based on the input signal records.

Career Highlights

Hani Hana Neuvirth is currently employed at Microsoft Technology Licensing, LLC, where she continues to innovate in her field. Her work has implications for enhancing security measures and improving incident response strategies.

Collaborations

She collaborates with talented individuals such as Ely Abramovitch and Yaakov Garyani, contributing to a dynamic work environment that fosters innovation.

Conclusion

Hani Hana Neuvirth is a pioneering inventor whose work in machine learning and incident analysis is shaping the future of technology. Her patents reflect her commitment to advancing the field and addressing critical challenges in incident identification and security.