SAN FRANCISCO, April 19, 2018 (GLOBE NEWSWIRE) -- Sift Science, a machine learning company whose platform protects businesses from fraud and abuse, today announced the arrival of Jeff Sakasegawa who joins the company as Trust & Safety Architect. As fraud becomes more common and more complex, Sift Science is expanding its Trust & Safety team to offer customers further expertise in the risk space. As a Trust & Safety Architect, Jeff will lead internal education on all things trust and safety and advise partners on building anti-abuse teams, all with the mission of making the internet a safer place for businesses and consumers.
“Online fraud used to simply mean payment abuse, but fraudsters have gotten more advanced, moving into networks and communities, taking over accounts and subjecting users to trolling, harassment and fake news,” said Jason Tan, CEO and Co-founder, Sift Science. “Companies are learning how to deal with these problems, but may not have the resources to do so on their own. Our Trust & Safety team was created to help customers address these growing online threats, and Jeff’s experience fighting fraud will help us better arm customers and keep their users safe.”
Jeff brings eight years of experience in online risk and fraud management to the role. Prior to joining Sift Science, Jeff served as Risk Operations Specialist at Google, Fraud Investigator at Facebook and most recently served as a Risk Operations Lead as well as a Compliance Operations Lead at Square.
“Sift Science has been at the forefront of creating a layer of trust and safety on the internet for the last seven years, helping companies of any size or any type grow and expand while protecting their business and customers,” said Jeff Sakasegawa, Trust & Safety Architect, Sift Science. “I am excited to finally be a part of Sift Science and look forward to working with other risk management experts to continue the evolution of fraud detection and prevention.”
About Sift Science
Sift Science is a machine learning company that fuels business growth by protecting businesses and their customers from all vectors of fraud and abuse. Global brands such as Twitter, Airbnb, Yelp!, Shutterstock, Jet.com, Indeed and Wayfair rely on the Sift Science Digital Trust Platform for access to a global network of fraud data, 16,000+ fraud signals, and our unique ability to detect and prevent fraud in real time. We designed our platform with security industry best practices in mind. We are regularly assessed against SOC 2 and global privacy frameworks, including the General Data Protection Regulation (GDPR). To learn more, visit siftscience.com.
CONTACT:
Kristina Richmann | PAN Communications (for Sift Science)
krichmann@pancomm.com