• Products

    Digital Trust & Safety Platform

    Fight fraud without sacrificing growth

    Learn more

    Platform solutions

    • Payment Protection
    • Account Defense
    • Dispute Management
    • Content Integrity
    • Sift Connect

    Sift innovations

    • PSD2 Solution
    • New Releases & Enhancements
  • Industries

    One solution, any industry

    Learn how Sift can work for your industry

    Learn more

    Featured Industries

    • Fintech
    • Payment Service Providers
    • Retail
  • Customers

    Case studies by industry

    See how leading brands succeed with Sift

    Learn more

    Featured Customers

    • DoorDash
    • Uphold
    • Paula’s Choice
  • Partners
  • Fraud Center
  • Resources

    Live webinars & events

    Industry conferences and live sessions

    Learn more

    • Blog
    • Demos
    • Infographics
    • Ebooks & Reports
    • Videos
    • Podcasts
    • One-Pagers
    • On-demand webinars
    • Trust & Safety University
  • Company

    Why leaders choose Sift

    Technology, community, and partnership

    Learn more

    Our mission: Help everyone trust the internet

    • About
    • Careers
    • News & Press
    • Live events
Talk to an expert
Products
  • Digital Trust & Safety Platform
  • Payment Protection
  • Account Defense
  • Dispute Management
  • Content Integrity
  • Sift Connect
  • PSD2 Solution
  • New Releases & Enhancements
Industries
  • Fintech
  • Retail
  • Payment Service Providers
Customers
Partners
Fraud Center
Resources
  • Live webinars & events
  • Blog
  • Ebooks & Reports
  • One-Pagers
  • Demos
  • Videos
  • On-demand webinars
  • Infographics
  • Podcasts
  • Trust and Safety University
Company
  • Search Careers
  • Our Company
  • Contact Us
  • Engineering Blog
Talk to an expert Sign in
  • Blog Home
  • Fraud
< prev / next >
Share this article on LinkedIn
Tweet this article
Share this article on Facebook
SOCIALICON
Share this article via email

Take the fraud news challenge! 6/19/17

By Roxanna "Evan" Ramzipoor  / 

June 19, 2017

Are you staying on top of the online fraud and abuse headlines? It’s time to test your knowledge! Fill in the blanks below. No cheating! And don’t forget to check your answers when you’re done.

Fill in the blanks!

1. A new study from Mastercard and Oxford University suggests that 93 percent of consumers (and 92 percent of banks) would prefer to use _____ instead of passwords.

2. The New York Times is teaming up with Alphabet to fight _____ with machine learning technology.

3. According to a survey from TD Bank, almost everyone seems to think that payments fraud will _____.

How did you do?

1. A new study from Mastercard and Oxford University suggests that 93 percent of consumers (and 92 percent of banks) would prefer to use biometrics instead of passwords.

Passwords are a pain. If you’re anything like the average consumer, you have to remember around 90 passwords at any given time. In fact, 1 in 4 consumers has to reset one password a day – every day! – and 21 percent forget their password again in 2 weeks. And passwords a pain for e-commerce sites, too: people routinely end up abandoning their carts at checkout because they can’t remember their password. People deal with the pain by slacking on their password hygiene.

Thanks to Mastercard and Oxford University, we now know exactly how much of a pain passwords are. Almost everyone wants to get rid of them in favor of thumbprint scanners or other biometric technology. To be exact, 93 percent of consumers and 92 percent of banks are pushing for biometrics.  Because both businesses and consumers are sharing the pain, the biometric revolution may come sooner than previously expected.

2. The New York Times is teaming up with Alphabet to fight the comments section with machine learning technology.

You’ve heard it before, and so has the New York Times (NYT): don’t read the comments section! To deal with the often toxic comments readers leave on their articles, the NYT has closed comment sections on all but 10 percent of their pieces. Other news organizations like NPR, reuters, and Recode have done away with comments sections entirely.

But thanks to machine learning, that could change very soon. The NYT is now using an algorithmically-driven app called Perspective to parse trollish comments from good ones. Perspective will flag questionable comments, which will then be passed on to a (human) team for manual review. The NYT hopes to open a quarter of their articles to comments with Perspective’s help…and even more than that, once the comments sections are fit to print.

3. According to a survey from TD Bank, almost everyone seems to think that payments fraud will get a lot worse.

To end this article on an optimistic note: TD Bank recently polled attendees at the Electronic Payments Associate conference, finding that 91 percent believe payment fraud is about to get much worse over the next 2 or 3 years. When asked why they’re so pessimistic, respondents noted that the “criminal toolbox is expanding.”

Many attendees have had firsthand experience with this toolbox. In fact, most said that at least one of their clients had been involved in some kind of hack or security incident over the past year.

Related

fraudmachine learningnewsnews rounduppayment fraud

Roxanna "Evan" Ramzipoor

Roxanna "Evan" Ramzipoor was a Content Marketing Manager at Sift.

  • < prev
  • Blog Home
  • next >
  • Company
  • Get a free demo
  • About us
  • Careers
  • 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

Get industry trends, insights, and actionable fraud-fighting tips.

You're on the list.

You can unsubscribe at any time. Please see our Website Privacy Notice.
Do Not Sell My Personal Information

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

© 2023 Sift Science, Inc. All rights reserved. Sift and the Sift logo are trademarks or registered trademarks of Sift Science, Inc.
Privacy & Terms

Secure your business from login to chargeback

Stop fraud, break down data silos, and lower friction with Sift.

  • Achieve up to 285% ROI
  • Increase user acceptance rates up to 99%
  • Drop time spent on manual review up to 80%
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.