Digital Trust & Safety Vendor Evaluation Checklist: Machine Learning vs. Rules

One-Pager

Digital Trust & Safety Vendor Evaluation Checklist: Machine Learning vs. Rules

With Digital Trust & Safety, businesses can align risk and revenue decisions by fundamentally evolving their fraud prevention strategy, from mindset and processes to technologies and platforms.

By using real-time machine learning, as well as data from merchants and markets all over the world, this approach to fraud prevention gives you the ability to accurately separate suspicious behaviors from legitimate ones in less than a second—all while enabling you to deliver superior experiences to trusted users and stop fraudsters from undercutting your revenue.

It’s machine learning you can actually count on.

Download this checklist to:

  • Discover the technology and features you should be looking for in a cutting-edge fraud prevention solution
  • Compare functionality, integration, and security features between Sift’s real-time machine learning solution and rules-based vendors, and find out which platforms fully meet the needs of your business
  • Find out how your business can benefit from a Digital Trust & Safety strategy by taking our online assessment
  • Schedule your Digital Trust & Safety assessment with Sift’s team of fraud prevention experts
DOWNLOAD THE CHECKLIST
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https://pages.sift.com/rs/526-PCC-974/images/one-pager-sift-vendor-evaluation-checklist_ML-vrs-Rules.pdf

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%
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