Ziv Eli

Title: Ziv Eli: Innovator in Online Fraud Detection

Introduction

Ziv Eli is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of online security, particularly in the detection and prevention of fraud related to new account creation. With a total of three patents to his name, Eli's work leverages advanced machine learning techniques to enhance online safety.

Latest Patents

Eli's latest patents include a method for real-time detection and prevention of online new-account creation fraud and abuse. This innovative approach utilizes a machine learning model with two computational branches, one featuring an attention layer and the other a convolutional layer. The model processes incoming emails to identify potential fraud, taking mitigation actions when necessary. Another notable patent focuses on the real-time detection of online new-account creation fraud using graph-based neural network modeling. This method encodes registration data to generate a node vector, which is then analyzed against a database of prior registrations to assess the likelihood of fraud.

Career Highlights

Ziv Eli is currently employed at Akamai Technologies, Inc., where he continues to develop cutting-edge solutions for online security. His expertise in machine learning and fraud detection has positioned him as a key player in the tech industry.

Collaborations

Eli has collaborated with notable colleagues, including Nadav George Costa and Maor Hod, contributing to the advancement of their shared goals in online security.

Conclusion

Ziv Eli's innovative work in fraud detection exemplifies the importance of technology in enhancing online security. His contributions are vital in the ongoing battle against online fraud, making the internet a safer place for users.