Account takeover (ATO) is on the rise across industries, leading to financial loss, community degradation, and brand damage. However, businesses can protect themselves and, more importantly, their customers by stopping unauthorized account access early on.
That’s why we’re excited to announce updates to Decisions and Workflows that let you easily manage authentication policies and stop ATO before it happens.
As a refresher, Sift Science Workflows enable teams build custom fraud processes that leverage our machine learning insights – all without additional code. Detect a suspicious login? Add verification steps like SMS verification or two-factor authentication to stop fraudsters early. Good users accessing their accounts as usual don’t need to jump through any extra hoops. The result? Fewer ATO incidents and a better user experience.
Here are some of the ATO-specific features in more detail:
Session-Level Decisions
You can improve accuracy by applying session-level decisions to tell Sift Science whether a login attempt is good or bad. Like user- and order-based decisions, these are completely customizable and can be tied to your existing business actions. For example, you can set up decisions to automatically block bad sessions or automatically allow good ones.
Session-level decisions can be applied automatically through Workflows or manually in the Sessions card on the User Details page.
Session-based Workflows and Queues
ATO-specific Workflows let you build automations triggered at the point of login – whether successful or failed. Routes can incorporate a Sift Score and a variety of ATO-related signals like mobile device information, login velocity, and login location.
ATO Review Queues automatically serve flagged sessions, so fraud teams can take action quickly. Once a decision has been applied, analysts automatically get the next available item and can efficiently work through open cases.
With our new session-level decisions and workflow capabilities, keeping your user accounts protected is easier than ever. Read through our Account Takeover Prevention Integration Guide to get started. If you have any questions or feedback, reach out to us at support@siftscience.com. Our team of Support Engineers is here to help!
