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Account Abuse Prevention

Powered by real-time machine learning

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Grow your user base. Without friction. Without fake accounts.

  • Fewer fake accounts

    Accurately detect bad actors in real time with machine learning, and prevent them from creating phony accounts on your site or app.

  • Less manual review

    Save time and money by automating how you stop fraudsters, scammers, and spammers from creating fake accounts and abusing your platform.

  • more-sales$%

    More quality signups

    Remove roadblocks from signup – such as confirmation emails and CAPTCHAs – to get more good users registered on your site.

why customers love us

“Network Visualizations help us find other fraudulent accounts we haven't noticed before. It's easy to find fraud through this tool.”
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)Ban User AccountFlag for VerificationApprove AccountIP address is 66.130.189..User Label is “not labeled”Account Abuse > 60account abuse scoreTOP ACCOUNT ABUSE SIGNALS123 Mission StreetLatest shippinggmail.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 transaction67custom attributesUsers per device2Email Addresswormtail19@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 Attributeidentitynamespeter pettigrewWormtailphone 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 11:15amPayment Abuse81
  • Machine learning that adapts and learns in real time

    An account abuse specific machine learning model specialized in detecting users creating fake accounts.

  • Global network of online businesses ensure accurate results

    The world’s largest network of online businesses anonymously share new account creation and abuse data and analysis to generate the largest database of fraud patterns.

  • Web-based analyst console streamlines manual review and analysis

    Fraud analysts manually review accounts, explore visualizations, and dig into details such as connected accounts, device fingerprint, email address, browsing behavior, 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 manage accounts and prevent fraud and abuse.

  • Automated workflows deny or accept new accounts or assign them for manual review

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

Data & Signals

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

  • Connected accounts (fraud rings)
  • Device fingerprint
  • IP analysis
  • User browsing behavior
  • Email analysis
  • Geolocation 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.

  • Real-time Machine Learning

    The Sift Science 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 web-scale businesses across the world. With over 6,000 sites on the platform, we collect, analyze, and learn from 100s of millions of events every day.

  • Automation

    Sift Science is so accurate at detecting fraud and abuse that fraud processes and decisions can be fully automated. Powerful workflow capabilities are easily configured 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 them 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.


Transparent, pay-as-you-go pricing.

  • 30-day free trial
  • pay as you go
  • no setup fees
Monthly User VolumePrice Per New Account
0 to 50,000$0.050
50,001 to 100,000$0.045
100,001 to 500,000$0.040
500,001 to 1,000,000$0.035
> 1,000,000$0.030