This inventor holds 1 USPTO granted patent. Top assignee: Symantec Corporation. Active years: 2017.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2017
Title: The Innovations of Philip DiCorpo
Introduction
Philip DiCorpo is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of data loss prevention through his innovative use of machine learning. His work focuses on enhancing the security of sensitive information in documents.
Latest Patents
DiCorpo holds a patent titled "Confidence level threshold selection assistance for a data loss prevention system using machine learning." This patent involves the use of machine-learning based detection profiles to identify sensitive information in documents. The MLD profile generates a confidence value that indicates the likelihood of a document being classified as sensitive. The data loss prevention system can suggest a confidence level threshold to users, helping them distinguish between sensitive and non-sensitive data. This innovative approach enhances the effectiveness of data protection measures.
Career Highlights
Philip DiCorpo has had a notable career at Symantec Corporation, where he has been instrumental in developing advanced security solutions. His expertise in machine learning and data protection has positioned him as a key figure in the industry. With 1 patent to his name, DiCorpo continues to push the boundaries of technology in the realm of data security.
Collaborations
DiCorpo has collaborated with talented professionals such as Shitalkumar S Sawant and Vikram Shrowty. These partnerships have fostered innovation and contributed to the development of cutting-edge solutions in data loss prevention.
Conclusion
Philip DiCorpo's contributions to the field of data loss prevention through his innovative patent demonstrate his commitment to enhancing information security. His work continues to influence the industry and pave the way for future advancements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
