Sift Sift is the leading fraud prevention platform delivering digital trust to 700+ global brands. Integrate in minutes, and start fighting fraud today.

Machine learning lets a computer program recognize patterns of fraudulent behavior based on past examples. What makes our program unique is the resolution of patterns learned. Our system has learned one million fraud patterns and counting, including specific page navigation sequences, IP ranges, email address patterns, graph connectivity structures, browser configurations, and even writing styles that predict fraudulent activity.

Just released: Sift’s Q1 2026 Digital Trust Index is here. The biggest risks are no longer limited to checkout. Attacker...
03/31/2026

Just released: Sift’s Q1 2026 Digital Trust Index is here.

The biggest risks are no longer limited to checkout. Attackers are increasingly targeting accounts earlier in the customer journey, creating new risks across login, payments, and stored value.

Sift’s latest Digital Trust Index benchmarks payment fraud and account takeover (ATO) together, helping fraud and risk teams understand how performance compares across industries and where hidden gaps may exist.

Inside the report:
• Payment fraud and ATO benchmarks across industries
• Consumer insights on trust, security, and purchase behavior
• Authentication trends and evolving fraud patterns
• Practical guidance for benchmarking fraud performance
• Key signals shaping fraud strategy in 2026

Read the new report: https://buff.ly/zRNnWeO

Benchmark your payment fraud and account takeover performance with Q1 2026 Digital Trust Index insights from Sift, including industry trends, consumer findings, and practical next steps for fraud teams.

03/05/2026

Fraud is no longer a siloed function. It sits at the intersection of security, revenue, and customer experience.

Join Sift for the first session of The Blueprint, a new webinar series designed for fraud leaders who want practical guidance, not theory.

In “How to Build and Scale a Modern Fraud Organization,” Sift’s Field CTO Kevin Lee shares lessons from building fraud programs at Square, Facebook, and Sift. Hosted by Jerry Hoff, Founder & CEO of AppSec Training Inc, the session explores how fraud teams can evolve and align strategy with real business outcomes.

You’ll learn:
• How to design or evolve a modern fraud organization
• What has changed in fraud over the past decade
• How to align fraud strategy with revenue and customer experience
• How your program compares to peers through live benchmarking polls

🗓 Live: March 11 | 10–10:30 a.m. PST
🌍 Simulive: March 24 | 3–3:30 p.m. GMT

Save your spot:
https://buff.ly/fbveWjY

The Big Game isn’t just prime time for fans. It’s also prime time for fraudsters.During peak betting and payout periods,...
02/07/2026

The Big Game isn’t just prime time for fans. It’s also prime time for fraudsters.

During peak betting and payout periods, even small blind spots can turn into major losses. Sift’s FIBR helps teams benchmark their fraud performance against industry averages using real data from our global network.

✔ Compare payment fraud, chargeback, and ATO rates
✔ Identify where you’re outperforming or falling behind
✔ Get actionable insights to protect revenue when volume spikes

See how your fraud program stacks up before the next big event: https://buff.ly/EIQgZqY

We’re proud to share that Leslie Lorenco, VP of Global Channel Sales at Sift, has been named to CRN's 2026 Channel Chief...
02/04/2026

We’re proud to share that Leslie Lorenco, VP of Global Channel Sales at Sift, has been named to CRN's 2026 Channel Chiefs list.

This recognition reflects Leslie’s leadership and the long-term approach she’s taken to building a partner ecosystem rooted in mutual value, trust, and shared outcomes. At Sift, partnerships are foundational to how we help customers manage fraud, risk, and digital trust at scale, and Leslie has been instrumental in shaping that strategy.

We shared more on what this recognition represents, and how partners play a central role in Sift’s go-to-market strategy, in our latest blog: https://buff.ly/QAkBjVN

Congratulations, Leslie, and thank you for raising the standard for channel leadership and partnerships.

Sift is heading to Payments MAGnified, and we’d love to connect in San Diego.Here’s how to meet with us:🎤 Small Group Di...
01/27/2026

Sift is heading to Payments MAGnified, and we’d love to connect in San Diego.

Here’s how to meet with us:

🎤 Small Group Discussion on Fraud (Feb 18)
Join Alex Hall (Trust & Safety Architect, Sift) and Ashley Johnson (Director of Cash & Treasury Management, Texas Roadhouse) for an interactive discussion on today’s biggest fraud and payments challenges—and how leading merchants are adapting.

⛵ Exclusive Evening Event: HMS Surprise (Feb 18)
Step aboard the historic HMS Surprise (Master and Commander) at the Maritime Museum of San Diego for food, drinks, and docent-led tours.

📍 Visit us at Booth #108
See how unified behavioral, device, and transaction intelligence helps merchants reduce fraud, improve approval rates, and turn risk decisions into a growth lever—without adding friction for trusted customers.

👥 Meet Sift’s Executive Leadership Team
Talk strategy, roadmap, and how modern risk teams are rebuilding operations for precision, scale, and revenue impact.

👉 Meet us there: https://buff.ly/UXZXohw

Fraud usually shows up right when growth does.For Atom Tickets, that meant spikes around blockbuster releases and promot...
01/21/2026

Fraud usually shows up right when growth does.

For Atom Tickets, that meant spikes around blockbuster releases and promotions—exactly when speed and experience matter most. They needed fraud protection that could keep up without slowing customers down.

With Sift, they achieved:
✔️ 40% fewer fraud-related chargebacks
✔️ 60% reduction in manual review time
✔️ 25% fewer false positives

The result? Faster decisions, less friction, and fraud prevention that actually supports growth.

👉 Read the full case study: https://buff.ly/r8VdbqJ

Tomorrow, we’re putting AI to the test.Fraud teams are being asked to trust AI more than ever. But how well does it actu...
01/13/2026

Tomorrow, we’re putting AI to the test.

Fraud teams are being asked to trust AI more than ever. But how well does it actually predict what’s coming next?

Join Sift and the Merchant Risk Council for a live, unscripted session where two leading AI platforms are challenged with real fraud scenarios and their predictions are compared to frontline expertise. You’ll see where AI delivers clarity and where human judgment still matters most.

Last chance to register 👉 https://buff.ly/pXU4kb8

Fraud looks different depending on where your business is in its growth journey.Some teams are still building the basics...
01/13/2026

Fraud looks different depending on where your business is in its growth journey.

Some teams are still building the basics.
Others are trying to scale past manual reviews and point tools.
And some are focused on optimizing accuracy, automation, and coverage.

Where does your fraud program stand?

Sift’s Digital Risk Assessment helps you identify your current stage and uncover practical next steps to reduce risk without adding friction.

It takes just a few minutes, and you’ll get tailored insights based on your industry, transaction volume, and goals.

👉 Take the assessment and get your results: https://buff.ly/Yz3RWLh

Artificial intelligence is reshaping fraud prevention faster than many teams can adapt.Join Sift and the Merchant Risk C...
01/08/2026

Artificial intelligence is reshaping fraud prevention faster than many teams can adapt.

Join Sift and the Merchant Risk Council on January 14 for a live look at what fraud threats are emerging in 2026 and how AI stacks up against real-world expertise.

In this session, Sift Trust and Safety Architect Alexander Hall and MRC Director of Technology & Innovation Dafyd Jones will put two leading AI platforms to the test using real fraud scenarios. You’ll see how AI predicts the next wave of attacks, where it performs well, and where human judgment still makes the difference.

What you’ll walk away with:
✅ Which AI-predicted fraud tactics are most likely to dominate in 2026
✅ Where AI helps and where it falls short in fraud prevention
✅ Practical steps teams can take now to prepare for what’s next

👉 Register now: https://buff.ly/pXU4kb8

🎰 Going to ICE Barcelona? Let’s connect.Fraud today doesn’t live in one place. It moves across onboarding, gameplay, pay...
01/06/2026

🎰 Going to ICE Barcelona? Let’s connect.

Fraud today doesn’t live in one place. It moves across onboarding, gameplay, payments, and withdrawals, often hiding between touchpoints.

At ICE, we’re meeting with operators to show how unified player intelligence helps:
✅ Detect cross-touchpoint fraud traditional tools miss
✅ Improve oversight, speed up decisions, and reduce regulatory risk
✅ Reduce abuse without slowing legitimate players

👉 Schedule time with Sift at ICE Barcelona: https://buff.ly/xl87Re6

Happy holidays from all of us at Sift. 🎉As the year comes to a close, we’re grateful for the entire Sift community—our c...
12/24/2025

Happy holidays from all of us at Sift. 🎉

As the year comes to a close, we’re grateful for the entire Sift community—our customers, partners, and teammates—who make the work we do possible.

Thank you for the collaboration, trust, and ideas you share with us throughout the year. You push us to keep building smarter, stronger solutions that help make trust possible online.

Wishing you a joyful holiday season and a happy, healthy New Year. Here’s to continuing the journey together in 2026. ✨

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