Fraud leaves businesses little time to react to risk, and costs revenue with every missed signal. Our latest set of innovations gives Sift customers a sharper edge when it comes to fighting fraud proactively and reducing operational friction—now through GenAI-powered behavioral analysis and finely-tuned operational control.
All features highlighted have been leveraged with great results by our early beta adopters, and are available now for all customers.
ActivityIQ: GenAI Meets ATO
Protecting accounts from takeover attacks is a constant challenge. This is especially true when an ATO flag requires manual review, and includes the tedious comparison of activities across multiple—sometimes hundreds—events.
Our research found that 80% of consumers would stop shopping on a site or app due to unchecked ATO. With ActivityIQ, Sift is leveraging generative AI to allow you the option to rapidly surface and summarize user actions across multiple sessions, giving your team quick, natural language insights to sift through the noise and aid in making faster ATO fraud decisions.
What’s new for Account Defense users:
- AI-powered summaries of behavioral insights, which can reduce investigation time from minutes to seconds.
- Improved visibility into high-risk sessions, helping analysts spot emerging fraud patterns sooner.
- Faster, more precise fraud detection that reduces analyst workload and improves overall security.
FIBR-In-Console: Industry Benchmarking
Fraud goes beyond blocking bad actors. Understanding where your business stands against peers in similar markets and risk conditions reveals security gaps, and allows teams to better understand their performance and make smarter decisions around fraud operations.
FIBR-In-Console allows customers to immediately compare their actual fraud performance with fraud worldwide and fraud within their specific industry or vertical without toggling away from the platform. This eliminates the need for context switching, and provides risk teams with immediate, apples-to-apples comparisons of their fraud metrics against industry rates within the Sift Global Data Network. The new integration specifically compares aggregated payment fraud attack rates, manual review rates, and chargeback metrics directly alongside customers’ own performance data.
What’s new for users:
- Direct access to FIBR aggregated payment attack rates, manual review rates, and chargeback rates within the Sift Console.
- Filter by industry for more relevant benchmarking, giving your team the clarity they need to assist in optimizing fraud strategies.
- Simplified reporting with pre-populated comparison data, reducing the time spent on performance analysis.
Calibrate Accuracy at Scale with Automatic Chargeback Labeling
Chargebacks continue to be a major focus area for fraud teams, often requiring hours of manual labeling against increasing cases of first-party fraud and disputes. Sift’s new Automatic Chargeback Labeling feature reduces the need for manual intervention and can improve model accuracy over time.
What’s new for users:
- Automated fraud labeling when chargeback events are detected, reducing the burden on your team.
- Increased label volume and precision, which can improve model training and performance without additional manual effort.
- Seamless integration with Sift’s existing payment protection workflows.
A Console Experience That Keeps Getting Smarter & Faster
We’ve also made key enhancements to the Sift Console to improve the speed and simplicity of your daily workflows:
- Search Bar Autocomplete helps analysts quickly find users, orders, or sessions with partial matches and phone number lookups.
- Sift Notifications Reports provide insights into the performance of your Notifications and two-factor authentication (2FA) strategies with new Console widgets.
- RiskWatch Percentile Scoring shows percentile distribution within Score Threshold Reports for deeper performance insights.
These innovations deliver faster insights, sharper defenses, and more control over fraud operations for Sift customers, so they can take action with confidence, reduce operational friction, and protect revenue from the bottom up.
Get the latest research from Gartner on the convergence of online fraud prevention, identity, and cybersecurity in their new report.
