Fraud teams are under constant pressure to deliver faster, more secure experiences at uncapped scale. Our Fall ’25 release advances the way businesses detect and evaluate risk, without adding complexity to the work.
Combining pre-built workflows, advanced policy abuse protection, and deeper investigative visibility, these innovations allow for faster defense deployment, sharper threat detection, and revenue protection without customer friction.
Pre-Built Workflows Deploy in Minutes, Never Weeks
Building fraud workflows from scratch can slow down protection and leave gaps open to attack. Sift’s new Pre-Built Workflow Templates lets your teams launch payment protection in minutes without bringing in engineering.
Teams can tap into a library of ready-to-use templates that accelerate time-to-value, lighten workloads, and apply proven fraud strategies from day one. Each Pre-Built Workflow Template turns expert practices into actionable playbooks, sharpening accuracy and decisioning while increasing efficiency immediately and over time.

Policy Abuse Enhancements Stop Margin Erosion
Policy abuse—like loyalty, promo, and referral exploitation—is often invisible until it’s already cost a business money. With Specialized Console Functionality for Incentive Abuse, you can detect and block multi-account fraud, fake account creation, and promo exploitation before the transaction and revenue loss occur.
The dedicated Console experience gives teams the tools to:
- Expose sophisticated abuse patterns with new risk signals
- Quantify the impact of incentive abuse with policy-specific reporting
- Take immediate action against repeat offenders using violation history cards
This suite of incentive-focused defenses proactively protect margins while lowering customer acquisition costs (CAC), cutting your manual reviews, and accelerating accurate decisioning.

Investigations Go Faster & Further with Expanded Visibility
Fraud investigations demand speed and context. This release adds three major capabilities to surface hidden connections, track trends, and improve accuracy over time, while giving ops teams more confidence in each decision through faster, more precise data analysis:
- Historical Chargeback Import. Upload and review historical chargeback data via CSV to feed Sift’s models, spot long-tail fraud patterns, and improve detection accuracy.
- Global Identity Search Filters. Search, filter, and prioritize accounts linked through Sift’s Global Identity network to uncover coordinated attacks faster.
- ATO Overview Dashboard. Track ATO trends at a glance, with new drilldowns into Logins by 2FA and Logins by Notifications for targeted defense improvements.


A Console That Gets Simpler as Fraud Gets Smarter
Fraud’s speed and scale demand solutions that are just as fast, precise, and adaptive. Our Fall ’25 release puts those capabilities directly into the hands of Sift customers, shortening time-to-decision, reducing operational load, and giving them the context they need to act decisively before threat actors can find and exploit gaps in their defenses.
For Sift customers, this means less friction, safer user experiences, and the ability to build trust in every digital interaction. For fraud teams, it means fewer hours wasted chasing signals and more time spent supporting secure, sustainable business growth.
Sift customers can log in to the Console now to explore all innovations in the Fall ‘25 release.