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Content Abuse Prevention

Powered by real-time machine learning

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Drive conversations and build community – without compromises.

  • Less spam and scams

    Prevent bad actors from posting malicious or low-quality content that can permanently damage your business’ reputation and drive good users off your site.

  • Less manual review

    Save time and money by automating how you stop scammers and spammers from creating abusive content – before it goes live.

  • more-sales$%

    More engagement

    Confidently remove roadblocks to let the high-quality posts flow. Plus, the community will thrive once users know they’re guaranteed a trustworthy and abuse-free experience.

why customers love us

“The number of fraudulent listings on our auto site’s homepage dropped to zero - when we started, nearly 80% of the listings were fraud.”
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)Delete Job ListingFlag for VerificationApprove Job ListingIP address is 66.130.189..User Label is “not labeled”Content Abuse > 50content abuse scoreTOP CONTENT ABUSE SIGNALS123 Mission StreetLatest shippinggmail.comEmail domainDeatheaters wanted for Voldem...Job listing titlehogwartsHost providing this user’s email service9393;dragon heart: 11i wand;drago...Job listing descriptionN63.141Network9393Latest item item ID33.84, -118.35User location16.31 hoursAge of first transaction58custom attributesUsers per device2Email Addressnagini@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 AttributeidentitynamesNaginiWormtailphone numbers1-789-184-3715emailsnagini@gmail.comaccount first seen1 day ago1-415-238-6998ip locationsPromotional Abuseabuse types12Accepted (Promo Abuse)by Aaron A. • 8/1/16 at 11:15amPayment Abuse99Watching (Blacklist)by Aaron A. • 8/1/16 at 11:15amAccount Abuse81
  • Machine learning that adapts and learns in real time

    A content abuse-specific machine learning model specialized in detecting users creating abusive or malicious user-generated content across desktop and mobile - both browser and native apps.

  • Global network of online businesses ensures accurate results

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

  • Web-based analyst console streamlines manual review and analysis

    Content and community managers manually review accounts and content, explore visualizations, and dig into details such as postings (listings, reviews, etc), images, email address, browsing behavior, device fingerprint, connected accounts, historical data, and more.

  • Easy integration with existing systems keeps everything in sync

    Content abuse decisions automatically propagate to all your existing systems. No more switching between systems to manage content and prevent fraud and abuse.

  • Automated workflows block or accept new postings 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 spam and content 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 content abuse:

  • Content details and images
  • Content posting volume and velocity
  • Device fingerprint
  • User browsing behavior
  • Email analysis
  • Connected accounts (fraud rings)
  • 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

    Content 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 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