Account Abuse Prevention

Powered by real-time machine learning

Talk to a fraud solutions expert

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, such as confirmation emails and CAPTCHAs, from the signup flow to get more good users registered on your platform.

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 across desktop and mobile - both browser and native app..

  • 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

    Customizable workflows are easily configured directly in the console by analysts 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.

  • One Powerful Platform

    Account Abuse 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 12,000 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

  • evaluation
  • pay as you go
  • no setup fees