Sift Logo Several blue dots forming a sphere to the left of the word Sift in italic font.
  • Products

    Digital Trust & Safety Suite

    Fight fraud without sacrificing growth

    Learn more →

    Passwordless
    Authentication

    Account
    Defense

    Content
    Integrity

    Payment
    Protection

    Dispute
    Management

    Sift
    Connect

    PSD2
    Solution

    New Releases & Enhancements

  • Partners

    Sift Partner
    Program

    Join the leader in Digital Trust & Safety

    Learn more →

    Commerce platform partners


  • Industries

    One solution, many applications

    Learn how Sift can work for your industry

    Learn more →

    Featured industries


    Fintech

    Retail

    Food & Beverage

  • Customers

    See case studies by industry

    Sift works across every use case and region

    Learn more →

    Featured customers


  • Resources

    Explore our resources

    Access trends, guides, and insights from Sift

    Learn more →

    Blog

    Ebooks

    One Pagers

    Demos

    Videos

    Webinars

    Infographics

    Podcasts

    Trust & Safety University

  • Fraud Center
  • Company

    Why leaders choose Sift

    Technology, community, and partnership

    Learn more →

    Our mission: Help everyone trust the internet


    About

    Careers

    News & Press

Request a demo
Products
  • Digital Trust & Safety Suite
  • Passwordless Authentication
  • Account Defense
  • Content Integrity
  • Payment Protection
  • Dispute Management
  • Sift Connect
  • PSD2 Solution
  • New Releases & Enchancements
Why Sift
  • Salesforce
  • Magento
  • Shopify
Industries
  • Fintech
  • Retail
  • Food & Beverage
Customers
Resources
  • Blog
  • Ebooks
  • One Pagers
  • Demos
  • Videos
  • Webinars
  • Infographics
  • Podcasts
  • Trust and Safety University
Fraud Center
About
  • Search Careers
  • Our Company
  • Contact Us
  • Engineering Blog
Request a DemoSign In
  • Blog Home
  • Company
  • Fraud
< prev / next >
Share this article on LinkedIn
Tweet this article
Share this article on Facebook
SOCIALICON
Share this article via email

Takeaways From Our First-Ever Trust & Safety Summit

By Kevin Lee  / 

5 Apr 2017

Recently, Sift Science hosted our Architecting Trust and Safety Summit in New York City. It was the first event we’ve held that brought together industry thought leaders to share best practices and give insight into where the online risk, abuse, and trust and safety industry is headed – specifically from a technical perspective.

Here are some high-level takeaways from each session:

Topic: Managing Risk and Building Trust

By Chris McClean – Vice President, Research Director, Forrester Research

There are 3 main drivers of how a business can build consumer trust:

  • Integrity – Can a user trust that you are not going to do anything shady with their personal information?
  • Competence – Does your abuse team have the ability to find errors and fix them quickly?
  • Transparency – When you take an action on an account or transaction (for example, stopping the order) do you give an explanation to the user or do you treat it as a black box experience that can cause customer frustration and churn?

Topic: Building a Product Optimized for Trust

By Kevin Lee – Trust and Safety Architect, Sift Science

  • Online businesses are becoming more diverse
    • Traditional commerce, community, and content-based businesses are all combining and moving into each other’s spaces.
    • For example, Facebook started in the “community” space but has grown its product line to include shopping and peer-to-peer payments. Google started in the “content” space with a search engine, but has moved into the community (Google+) and commerce (Google Shopping) spaces.
  • In order to effectively fight abuse on your platform, you must create joint utility function goals between your abuse team and the product teams to produce win/win scenarios.
  • Transparency – Create a system of trust by enabling users to:
    • Report bad things
    • Get educated on abuse
    • Go through soft responses (for example, 2-factor authentication) instead of blocking a transaction.

Topic: Reducing Chargeback and Security Risks in Digital Currency Exchanges

By Soups Ranjan – Director of Data Science, Coinbase

  • At Coinbase, they use both human review and machine learning to combat fraud. Fraud analysts label tons of accounts to feed the supervised and unsupervised machine learning models to learn.
  • Core to the investigation process is verifying the name and address of the customer across various sources (user email, government issued ID, SSN, bank account, etc). Thus, in order for a fraudster to be successful they need to compromise name and address across multiple data sources.
  • They use their own in-house models and a models from Sift Science together to get maximum coverage.
  • They limit impact of fraud by giving users a daily buying limit similar to a credit line. The higher risk the user the less the credit line and vice versa.

Topic: Measuring the Impact of Risk Systems

By Jevin Bhorania – Senior Data Scientist & Product Editor, Square

  • Evaluate model performance (recall, manual caseload created, and insults) on an incremental basis
  • A risk system can be measured in 3 main parts: models, decisions, and the overall system
  • Creating a holdout group where you actively choose to let through what you think are bad transactions is a great way to get a ground truth around false positives and loss rates. Just make sure to tag these accounts/transactions and monitor very closely.

Based on the level of audience engagement and questions, the summit was a huge success. Stayed tuned for the next summit and let us know if you’re interested in presenting. Hope to see you at our next event!

Related

eventstrust and safety summit

Kevin Lee

Kevin Lee is Vice President of Digital Trust & Safety at Sift. Building high-performing teams and systems to combat malicious behavior are what drive him. Prior to Sift, Kevin worked as a manager at Facebook, Square, and Google in various risk, spam, and trust and safety roles.

  • < prev
  • Blog Home
  • next >
Company
  • About Us
  • Careers
  • Contact Us
  • News & Press
  • Partner with us
  • Blog
Support
  • Help Center
  • Contact Support
  • System Status
  • Trust & Safety University
  • Fraud Management
Developers
  • Overview
  • APIs
  • Client Libraries
  • Integration Guides
  • Tutorials
  • Engineering Blog
Social

Don't miss a thing

Our newsletter delivers industry trends, insights, and more.

You're on the list.

You can unsubscribe at any time. Please see our Website Privacy Notice.

If you are using a screen reader and are having problems using this website, please email support@sift.com for assistance.

© 2022 Sift All Rights Reserved Privacy & Terms

Your information will be used to contact you about our service and subscribe you to our direct marketing communications. You can, of course, unsubscribe at any time. Please see our Website Privacy Notice.