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.
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.
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.
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!.
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.
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.
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.
The scores we receive on transactions are usually quite accurate and fast, and they have helped us avoid many potentially fraudulent orders.
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.
30-day free trial
Below are some frequently asked questions for Sift Science.
Sift Science offers the following pricing plans:
Starting from: US$0,10/month
Pricing model: Subscription
Free Trial: Not Available
30-day free trial
Sift Science offers the following features:
Sift Science has the following typical customers:
Large Enterprises, Mid Size Business, Non Profit, Small Business
Sift Science supports the following languages:
Sift Science has the following pricing plans:
We do not have any information about what devices Sift Science supports
Sift Science integrates with the following applications:
BigCommerce, Shopify, WooCommerce
Sift Science offers the following support options:
FAQs, Knowledge Base, Online Support, Video Tutorials