This inventor holds 1 USPTO granted patent. Top assignee: Paypal, Inc.. Active years: 2022.
Company Filing History:
Years Active: 2022
Title: Dan Ayash - Innovator in Anomaly Detection
Introduction
Dan Ayash is a notable inventor based in Tel Aviv, Israel. He has made significant contributions to the field of artificial intelligence, particularly in the area of transaction anomaly detection. His innovative work has the potential to enhance the security and reliability of financial transactions.
Latest Patents
Dan Ayash holds a patent for "Transaction anomaly detection using artificial intelligence techniques." This patent outlines systems and methods for anomaly detection that include accessing first data comprising a plurality of historical reversion transactions. A plurality of legitimate transactions is determined from these historical reversion transactions. An autoencoder is trained using the legitimate transactions to generate a trained autoencoder capable of measuring a given transaction for similarity to the legitimate transactions. A first reconstructed transaction is generated by the trained autoencoder using a first transaction. The first transaction is determined to be anomalous based on a reconstruction difference between the first transaction and the first reconstructed transaction. This innovative approach aims to improve the detection of fraudulent activities in financial systems.
Career Highlights
Dan Ayash is currently employed at PayPal, Inc., where he applies his expertise in artificial intelligence to develop advanced solutions for transaction security. His work at PayPal has positioned him as a key player in the ongoing efforts to combat fraud in digital transactions.
Collaborations
Dan collaborates with talented professionals in his field, including Liron Florens, Ben Kimon, and Michael Dymshits. These collaborations enhance the innovative environment at PayPal and contribute to the development of cutting-edge technologies.
Conclusion
Dan Ayash is a pioneering inventor whose work in transaction anomaly detection is shaping the future of financial security. His contributions to artificial intelligence and collaboration with industry experts underscore his commitment to innovation in this critical field.