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Payment Fraud Prevention

Powered by real-time machine learning

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Say goodbye to fraud-prevention tradeoffs. Say hello to your new growth driver.

  • Less payment fraud

    Accurately detect fraudsters in real time with machine learning. Prevent fraudulent transactions and chargebacks before they happen.

  • Less manual review

    Save time by automatically blocking fraudsters at scale. No need to hire more staff or dedicate more resources to fraud review.

  • more-sales$%

    More sales

    Confidently accept more good orders and give legitimate users the smooth, easy buying experience they deserve.

why customers love us

“We reduced chargebacks by 50% while blocking over 6.5x more orders automatically.”
View Case Study

Product Capabilities

Key Features
www.siftscience.comOVERVIEWNETWORKACTIVITYBack to All QueuesPrev.Next ReviewUser matched:View user outside queueOpen in hrs left in Queue)Cancel OrderFlag for VerificationFulfill OrderIP address is 66.130.189..User Label is “not labeled”Payment Abuse > 50payment abuse scoreTOP PAYMENT ABUSE SIGNALS123 Mission StreetLatest shipping addressgmail.comEmail domainDragon Heart, 11” wandLastest SKUhogwartsHost providing this user’s email service9393;dragon heart: 11i wand;drago...Order items single list itemN63.141Network9393Latest item item ID33.84, -118.35User location16.31 hoursAge of first transaction55custom attributesUsers per device2Email Addressvoldemort@gmail.comAccount AgeN/AUnique billing addresses...2Failed transactions per weekN/ACountryCAUsers per billing address1Transactions per weekN/AHost providing this user’s...hogwartsEmail address age51.99 daysDisposable email domainfalseEmail domaingmail.comUnique billing names2Ip/billing distanceN/ANo. of users with same IP...1No. of users with same sh...N/AIP address66.130.189.173Add AttributeidentitynamesTom Riddle, Jr.voldemortphone numbers1-789-184-3715emailswormtail19@gmail.comaccount first seen1 day ago1-415-238-6998ip locationsPromotional Abuseabuse types12Accepted (Promo Abuse)by Aaron A. • 8/1/16 at 11:15amContent Abuse99Watching (Blacklist)by Aaron A. • 8/1/16 at 11:15amAccount Abuse81
  • Machine learning that adapts and learns in real time

    A payment fraud-specific machine learning model that gets smarter by the millisecond, analyzing billions of global payment fraud patterns across desktop and mobile - both browser and native apps.

  • Global network of e-commerce merchants ensures accurate results

    The world’s largest network of e-commerce merchants anonymously share fraud patterns and analysis to generate the most accurate fraud predictions.

  • Web-based analyst console streamlines manual review and analysis

    Fraud analysts can manually review orders, explore visualizations, and dig into details such as geolocation, order history, connected accounts, historical data, and more.

  • Easy integration with existing systems keeps everything in sync

    Fraud decisions automatically propagate to all your existing systems. No more switching between systems to block a bad order.

  • Automated workflows block or accept orders or send them to manual review

    Analysts can easily configure customizable workflows directly in the console to automate fraud processes and decisions.

Data & Signals

Custom & global machine learning models analyze thousands of payment fraud signals every time a user takes an action on your site. Here are some examples of the data and signals we use to prevent payment fraud:

  • User browsing and shopping behavior
  • Geolocation details: billing, shipping, & IP
  • Current and historical order information
  • Shopping cart content and activity
  • Product catalog attributes
  • Credit card transaction details
  • Custom data & signals unique to your business

Powered by the Sift Science Trust Platform

One simple integration gives you access to an integrated suite of fraud and abuse products running on a single platform.

  • One Powerful Platform

    Payment Fraud Prevention is powered by the Sift Science Trust Platform. One simple integration gives you access to an integrated suite of fraud and abuse products running on a single platform that includes a unified web console, automation capabilities, and real-time machine learning.

  • Real-Time Machine Learning

    The Sift Science Trust Platform runs the world’s only machine learning system designed from the ground up to learn in real time from live events taking place on desktop and mobile apps across the world. With over 6,000 sites and apps on the platform, we collect, analyze, and learn from 100’s of millions of events each and every day.

  • Automation

    Sift Science’s machine learning is so accurate at detecting fraud and abuse that many fraud processes and decisions can be fully automated. You can easily configure workflows to automate actions based on machine learning predictions or specific data values. Whether you want to automatically block bad users, remove friction for good ones, or assign users to manual review queues, Sift Science streamlines your fraud prevention practice.

  • Investigation & Analysis

    Sift Science’s web-based console gives fraud teams the tools they need to efficiently manage their fraud management operations. Manual review queues keep analysts and managers focused on the most important cases, while data visualization tools and user-level event data provide the details needed to find even the most sophisticated fraudsters.

pricing starts at $1,000 / month

  • 30-day free trial
  • pay as you go
  • no setup fees