About Sift Science

Sift is a fraud detection solution for websites and mobile applications. The platform utilizes large-scale machine learning to detect fraudulent users and help online, eCommerce businesses to avoid falling victim to fraud.

Sift enables businesses to avoid and prevent online fraud using powerful real-time machine learning technology. Sift Science's machine learning improves continuously by learning in real-time from activity on a website, input from customers, and from a global network of fraud fighters. Sift constantly update their library of over 5000 fraud signals to stay ahead of tactic-changing fraudsters.

Through data visualizations, suspicious signals, and raw data access, Sift discloses the full narrative to customers. With features including device ID finger-printing, IP address analysis and social data analysis, Sift helps online businesses of all types, from marketplaces to payment processors, social networks to e-commerce stores detect and fight fraud. Sift protects customers include Airbnb, Zillow, Twitter and Match.

Key benefits of Sift Science

  • Automate critical business actions based on insights derived from Sift Science's real-time machine learning platform.

  • Automatically ban bad users and prevent them from returning.

  • Integrate Sift Science's REST APIs to customize users' experience directly based on risk score.

  • Leverage Sift Science's Device Fingerprinting API to prevent people using suspicious devices from accessing a site.

  • Receive an automatically posted HTTP request to a selected endpoint the moment that certain conditions are met.

  • Devices

    Business size

    S M L

    Markets

    Canada, United States

    Supported Languages

    English

    Images

    Visualize patterns and connections with Sift Science's web console
    Data visualizations
    Sift Science automatically presents suspicious orders
    View top suspicious signals
    View the activity history of customers
    Create and save a unlimited number of manual review queries
    View summarized order details and user attributes in a List
    Social Identity checks
    See every order a customer has placed in one section
    View 10 more
    Sift Science video
    Sift Science screenshot: Visualize patterns and connections with Sift Science's web console Sift Science screenshot: Data visualizations Sift Science screenshot: Sift Science automatically presents suspicious orders Sift Science screenshot: View top suspicious signals Sift Science screenshot: View the activity history of customers Sift Science screenshot: Create and save a unlimited number of manual review queries Sift Science screenshot: View summarized order details and user attributes in a List Sift Science screenshot: Social Identity checks Sift Science screenshot: See every order a customer has placed in one section

    Features

    Total features of Sift Science: 31

    • API
    • Access Management
    • Alerts/Notifications
    • Audit Management
    • Business Process Control
    • Case Management
    • Check Fraud Detection
    • Compliance Management
    • Conversion Rate Optimization
    • Corrective and Preventive Actions (CAPA)
    • Custom Fraud Rules
    • Dashboard
    • Data Discovery
    • Data Visualization
    • Exceptions Management
    • Financial Transaction Approval
    • For Banking
    • Fraud Detection
    • IT Risk Management
    • Internal Controls Management
    • Internal Fraud Monitoring
    • Legal Risk Management
    • Mobile Access
    • Operational Risk Management
    • Predictive Analytics
    • Purchasing & Receiving
    • Reputational Risk Management
    • Response Management
    • Risk Assessment
    • Risk Reporting
    • Risk Scoring

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    Reviews

    Overall rating

    5 /5
    (3)
    Value for Money
    4/5
    Features
    4/5
    Ease of Use
    3,7/5
    Customer Support
    4/5

    Already have Sift Science?

    Software buyers need your help! Product reviews help the rest of us make great decisions.

    Write a Review!
    Showing 5 reviews of 3
    Verified Reviewer
    Overall rating
    • Industry: Information Technology & Services
    • Company size: 1 001-5 000 Employees
    • Used Daily for 1+ year
    • Review Source

    Overall rating

    • Value for Money
    • Ease of Use
    • Customer Support
    • Likelihood to recommend 8.0 /10

    Best flexible option in the market nowadays...

    Reviewed on 2019/05/14

    It can be improved, the support team take too much time attending customer requirements, and...

    It can be improved, the support team take too much time attending customer requirements, and regarding the reporting, one instead focusing on the actionable data invest too much time wrangling with the data to get the information we need (asking via email for Sift asciende support, yes is frustrating). But despite these drawbacks, their Machine Learning approach is the best on the market as of today.

    Pros

    Workflows functionality (is like the main actions an user can perform while inside our services platform) and Rules functionality (inside each Workflow one can set high number of options and criteria to execute actions (Blocking, Reviewing, etc.) these two features bring what we need in order to map fraudsters and behaviors alike, while at the same time they Machine Learning engine learns from us! Making everything we create inside the tools a lesson learn and then we can focus on the other kind of attacks, relying on the tool.

    Cons

    The reporting is so basic it contrast with the high functionality and advanced Machine Learning tool it needs to be improved. Here is where tools like Ravelin excel Sift Science by far!.

    Verified Reviewer
    Overall rating
    • Company size: 201-500 Employees
    • Used Daily for 6-12 months
    • Review Source

    Overall rating

    • Value for Money
    • Ease of Use
    • Customer Support
    • Likelihood to recommend 10.0 /10

    Sift Science has enabled us to control unviable users.

    Reviewed on 2018/03/17

    We get to know the activity of users on a website. Helps us know if there is some kind of iffy...

    We get to know the activity of users on a website. Helps us know if there is some kind of iffy business going on. And I like that it is self learning. Meaning it learns from the decisions you make and helps you tag any bad users.

    Pros

    I like that it helps me find suspicious interactions between users. It does get me if a user has a network of accounts and if they are the same person by verifying if they are using the same device.

    Cons

    It is a bit tricky to use. There are so many options and so much to discover it can be a little bit overwhelming. But once you know what you're doing (kinda) you should be all set.

    Zach H.
    Overall rating
    • Used Daily for 1+ year
    • Review Source

    Overall rating

    • Value for Money
    • Ease of Use
    • Customer Support
    • Likelihood to recommend 9.0 /10

    This has been a great tool to prevent fraud

    Reviewed on 2018/06/12

    Pros

    The scores we receive on transactions are usually quite accurate and fast, and they have helped us avoid many potentially fraudulent orders.

    Cons

    We have had some issues where we are unable to locate a transaction in the system to further investigate, even though we received a score for the order.

    Sift Science FAQs

    Below are some frequently asked questions for Sift Science.

    Sift Science offers the following pricing plans:

    • Starting from:
    • Pricing model: Subscription
    • Free Trial: Not Available

    30-day free trial

    We do not have any information about Sift Science features

    Sift Science has the following typical customers:

    2-10, 11-50, 51-200, 201-500, 501-1 000, 1 001+

    Sift Science supports the following languages:

    English

    Sift Science supports the following devices:

    Sift Science integrates with the following applications:

    Bigcommerce, Shopify, WooCommerce

    Sift Science offers the following support options:

    Email/Help Desk, FAQs/Forum, Knowledge Base, 24/7 (Live rep)

    Related categories

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