Alma Zohar

Title: Alma Zohar: Innovator in Risk-Based Authentication

Introduction

Alma Zohar is a prominent inventor based in Raanana, Israel. She has made significant contributions to the field of risk-based authentication, holding 2 patents that showcase her innovative approach to fraud detection and risk management.

Latest Patents

One of her latest patents is titled "Maintaining a risk model using feedback directed to other risk models." This invention involves techniques for adjusting a risk engine based on feedback acquired from multiple entities. The recipient risk engine and donor risk engines work together to perform risk-based authentication, generating feedback that indicates whether certain transaction requests predicted to be fraudulent are confirmed as such. This feedback allows for adjustments to the recipient risk engine, enhancing its accuracy and effectiveness.

Another notable patent is "Rendering transaction data to identify fraud detection rule strength." This invention focuses on varying the rendering of a graph from transaction data to identify the strength of fraud detection rules. A rules server computer generates a general graph from a group of transaction entries, allowing users to define selection criteria. The resulting focused graph helps in determining the ratio of fraudulent to authentic transactions, thereby identifying the strength of the selection criteria for use in fraud detection.

Career Highlights

Alma Zohar is currently associated with Emc IP Holding Company LLC, where she continues to develop innovative solutions in her field. Her work has been instrumental in advancing techniques for fraud detection and risk management.

Collaborations

Throughout her career, Alma has collaborated with notable professionals, including Anatoly Gendelev and Alex Zaslavsky. These collaborations have contributed to her success and the development of her patented technologies.

Conclusion

Alma Zohar is a trailblazer in the realm of risk-based authentication, with her patents reflecting her commitment to innovation and excellence. Her contributions are paving the way for more effective fraud detection methods in various industries.