This inventor holds 1 USPTO granted patent and 5 published patent applications. Top assignee: Stripe, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations by Anthony Pianta in Machine Learning for Fraud Prevention
Introduction
Anthony Pianta is an innovative inventor based in Washington, DC. He has made significant contributions to the field of machine learning, particularly in the area of fraud prevention across various payment types. His work is instrumental in enhancing the security and efficiency of financial transactions.
Latest Patents
Anthony holds a patent for a groundbreaking solution titled "Machine learning for fraud prevention across payment types." This patent introduces a single machine learning model that is trained to detect fraud across multiple payment types. The concept of a payment scoring event (PSE) is central to this invention. A PSE is a data structure that stores multiple pieces of information about a transaction or potential transaction. The invention maintains a mapping between each payment type and the PSE structure, allowing for the introduction of additional payment methods with minimal effort.
Career Highlights
Anthony Pianta is currently employed at Stripe, Inc., a leading company in the payment processing industry. His expertise in machine learning and fraud detection has positioned him as a valuable asset to the team. He has successfully contributed to the development of innovative solutions that enhance transaction security.
Collaborations
Anthony has collaborated with notable colleagues such as Peter Lofgren and Ketan Singh. Their combined efforts have led to advancements in the field of payment security and fraud prevention.
Conclusion
Anthony Pianta's contributions to machine learning and fraud prevention are noteworthy. His innovative patent and work at Stripe, Inc. demonstrate his commitment to enhancing the security of financial transactions. His efforts are paving the way for safer payment methods in the future.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
