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    Kevin Lee

    VP of Trust and Safety at Sift

    Kevin Lee, VP of Trust & Safety at Sift

    Kevin Lee is the VP of Trust & Safety at Sift, a leading digital trust and safety platform that uses AI and machine learning to combat online fraud and abuse.12 In his role, Lee heads a team of Trust & Safety Architects who research fraud trends and develop industry best practices to inform Sift's product strategy.1

    Lee brings extensive experience in building and scaling abuse teams to combat online fraud and abuse. Prior to joining Sift, he led the Global Spam Operations team at Facebook (now Meta), was the Head of Risk at Square, and worked at Google in a role focused on fighting online abuse.13

    At Sift, Lee interfaces with customers to understand their fraud prevention concerns and helps them balance fraud prevention against user friction.1 He is driven by making the internet a safer place and empowering digital businesses to grow fearlessly with Sift's AI-powered platform.24

    Lee holds a degree from the University of California, Santa Barbara.3 He is based in the San Francisco Bay Area and has over 500 connections on LinkedIn.35

    Highlights

    Kevin Lee, VP of trust and safety at Sift | The Fintech Times
    Kevin Lee, VP of trust and safety at Sift | The Fintech Times
    Advisory Board Spotlight: Kevin Lee, VP of Trust and Safety at Sift
    Advisory Board Spotlight: Kevin Lee, VP of Trust and Safety at Sift
    Feb 10 · sift.com
    Meet Kevin: the Trust & Safety Superintendent - Sift Science
    Meet Kevin: the Trust & Safety Superintendent - Sift Science

    Related Questions

    What are some of the biggest challenges Kevin Lee faces in his role at Sift?
    How does Sift's AI-powered platform compare to other fraud prevention tools?
    What industries are most at risk from online fraud according to Kevin Lee?
    How does Sift's global network contribute to its fraud detection capabilities?
    What specific strategies does Sift use to stay ahead of evolving fraud trends?
    Kevin Lee
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    Location

    San Francisco Bay Area