Guy Gonen

Title: The Innovative Mind of Guy Gonen

Introduction

Guy Gonen is a notable inventor based in Be'er Sheva, Israel. He has made significant contributions to the field of data classification, particularly in the realm of automated sensitive data classification in computerized databases. His work has implications for data security and management, making it easier to identify and protect sensitive information.

Latest Patents

Guy Gonen holds a patent for "Automated sensitive data classification in computerized databases." This innovative patent involves a comprehensive process that includes retrieving a catalog of a database, sampling record values from various columns, and generating a map of probable associations between different columns of tables. The invention applies a machine learning classifier to classify the columns of sampled records into multiple data classes, some of which are sensitive. It also classifies non-sampled record values based on the classification of sampled records and searches the database for the existence of record values of classified columns. The process scores value and field name pairs according to their repetitiveness, enhancing the identification of fields likely to contain sensitive data.

Career Highlights

Guy Gonen is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and contribute to advancements in technology. His work at IBM allows him to collaborate with other talented professionals in the field, further enhancing his impact on data classification technologies.

Collaborations

Throughout his career, Guy has worked alongside notable colleagues such as Oded Sofer and Benazeer Daruwalla. These collaborations have fostered an environment of innovation and creativity, leading to advancements in their respective fields.

Conclusion

Guy Gonen's contributions to automated sensitive data classification highlight his innovative spirit and dedication to improving data management practices. His work not only enhances data security but also sets a precedent for future advancements in the field.