• Products

    Digital Trust & Safety Platform

    Fight fraud without sacrificing growth

    Learn more

    Platform solutions

    • Payment Protection
    • Account Defense
    • Dispute Management
    • Content Integrity
    • Sift Connect

    Sift innovations

    • PSD2 Solution
    • New Releases & Enhancements
  • Industries

    One solution, any industry

    Learn how Sift can work for your industry

    Learn more

    Featured Industries

    • Fintech
    • Payment Service Providers
    • Retail
  • Customers

    Case studies by industry

    See how leading brands succeed with Sift

    Learn more

    Featured Customers

    • DoorDash
    • Uphold
    • Paula’s Choice
  • Partners
  • Fraud Center
  • Resources

    Live webinars & events

    Industry conferences and live sessions

    Learn more

    • Blog
    • Demos
    • Infographics
    • Ebooks & Reports
    • Videos
    • Podcasts
    • One-Pagers
    • On-demand webinars
    • Trust & Safety University
  • Company

    Why leaders choose Sift

    Technology, community, and partnership

    Learn more

    Our mission: Help everyone trust the internet

    • About
    • Careers
    • News & Press
    • Live events
Talk to an expert
Products
  • Digital Trust & Safety Platform
  • Payment Protection
  • Account Defense
  • Dispute Management
  • Content Integrity
  • Sift Connect
  • PSD2 Solution
  • New Releases & Enhancements
Industries
  • Fintech
  • Retail
  • Payment Service Providers
Customers
Partners
Fraud Center
Resources
  • Live webinars & events
  • Blog
  • Ebooks & Reports
  • One-Pagers
  • Demos
  • Videos
  • On-demand webinars
  • Infographics
  • Podcasts
  • Trust and Safety University
Company
  • Search Careers
  • Our Company
  • Contact Us
  • Engineering Blog
Talk to an expert Sign in
  • Blog Home
  • Fraud
  • Product News
< prev / next >
Share this article on LinkedIn
Tweet this article
Share this article on Facebook
SOCIALICON
Share this article via email

Introducing Sift Science Workflows

By Megan Mann  / 

July 19, 2016 Updated July 29, 2019

We’re proud to announce Sift Science Workflows, a set of capabilities that enables you to build custom fraud processes with less code and cost than ever before. Integrations are now faster and you can more easily manage your business as you scale.

There are three components to Sift Science Workflows:

Workflows – Build and manage your fraud logic all within the Sift Science platform. Auto-block, auto-accept, or send to a Sift Science Review Queue based on a set of customizable criteria (e.g., risk score > 80, first-time user, country=Japan, etc).

Review Queues – The most efficient way for your analysts to manually review users and orders. Best part: they’re built right into the platform. You no longer have to build your own or buy them from a vendor.

Decision Webhooks – Connect actions taken within the Sift Science platform to your backend. No more switching between two interfaces. Whenever an analyst makes a decision or a Workflow applies an automated decision, we’ll send you a webhook with the result.

Workflows

Workflows empower you to build and manage your fraud business logic within the Sift Science platform. You can route users and orders to different outcomes based on their unique attributes.

Let’s say you have a user with a very high Sift Score. You likely want to auto-block them and not waste time in review. However, if you have a first-time user with a low score but their order value is high, maybe you may want to send to a Sift Science Review Queue just to be sure. And if it’s a return user with a very low score, you can auto-accept the order right away. Workflows lets fraud managers create and update all this logic themselves without developers having to build and maintain separate routing logic.

To get you going with Workflows, we’ve built an easy-to-use interface that lets you create and update the routes you need. Once you’ve set them up, you’ll work with your developers to connect them to your system. Whether it’s an automatic decision or one coming from your manual review team, we’ll send a request to your system so that you can apply the appropriate business logic on your side based on whatever decision was taken.

workflow routes

Review Queues

Whenever you’re unsure about a user or an order, it’s always good to get a set of eyes on it. We built Sift Science Review Queues so that your team has an efficient and scalable way to manage your review process. They’re built right into the platform, so there’s nothing extra to build or buy.

Sift Science Review Queues are completely customizable. Let’s say you have different queues based on geography or language. All you need to do is create one queue per language and then set up your Workflow to route to each one based on the country of the user. Even better, you can configure the actions analysts are able to take (e.g., Cancel Order, Cancel & Block Account, etc) on a per-queue basis. This gives you the flexibility to set up whatever process is best for your business.

The analyst review interface is optimized for efficiency. All the information they need is in front of them in the Sift Science interface they already know and love. Top fraud signals, connected users, recent activity, order information, etc. It’s all there. Whenever they take an action, the queue immediately advances and the next item is ready to be reviewed.

queue-analyst-view
Queue analyst view

 

queue-table
Queue overview

Decision Webhooks

Decision Webhooks enable you to connect actions taken within the Sift Science Console and Workflows back to your systems. Whenever an analyst applies a decision manually or a Workflow evaluates and applies an automatic decision, Sift Science sends a request to your system to tell it what happened. This way, the two systems can stay in sync and your analysts don’t have to switch between two interfaces.

Decisions are easy to set up in our Console. All you need to do is tell us what action it is, what action category the decision is (block, watch, accept), and where you want us to send the webhook request. When the webhook request is sent to you, we will tell you which decision it was so you can do whatever business logic you need to do on your side. Each decision will likely map to different business logic on your side (e.g., Accept Order vs. Accept Order but Flag account).

decision-modal

We’ve very excited to launch this new functionality and can’t wait to see how you use it. We’ve created tutorials for both Workflows and Decisions that will help you get started using them. We’ve also got a webinar for you to check out. Questions? Comments? Don’t hesitate to email support@siftscience.com, and we’ll be happy to help. 

Related

manual reviewworkflows

Megan Mann

Megan is a product manager at Sift. She loves helping customers solve their most challenging business problems. Before Sift, she worked at Bridgewater Associates and Westminster College.

  • < prev
  • Blog Home
  • next >
  • Company
  • Get a free demo
  • About us
  • Careers
  • News & press
  • Partner with us
  • Blog
  • Support
  • Help Center
  • Contact support
  • System status
  • Trust & Safety University
  • Fraud management
  • Developers
  • Overview
  • APIs
  • Client libraries
  • Integration guides
  • Tutorials
  • Engineering blog
  • Social

Don’t miss a thing

Get industry trends, insights, and actionable fraud-fighting tips.

You're on the list.

You can unsubscribe at any time. Please see our Website Privacy Notice.
Do Not Sell My Personal Information

If you are using a screen reader and are having problems using this website, please email support@sift.com for assistance.

© 2023 Sift Science, Inc. All rights reserved. Sift and the Sift logo are trademarks or registered trademarks of Sift Science, Inc.
Privacy & Terms

Secure your business from login to chargeback

Stop fraud, break down data silos, and lower friction with Sift.

  • Achieve up to 285% ROI
  • Increase user acceptance rates up to 99%
  • Drop time spent on manual review up to 80%
Your information will be used to contact you about our service and subscribe you to our direct marketing communications. You can, of course, unsubscribe at any time. Please see our Website Privacy Notice.