Sift

06/10/2026

Fraud prevention is entering a new AI era.

As fraud tactics grow more coordinated and adaptive, teams need to rethink how identity, transactions, incentives, and trust are designed from the start.

Join us on June 17 for Fraud Prevention: Using AI to Shift from Defense to Offense, a webinar sponsored by Sift featuring Mark Zawacki, Managing Partner at Ic10x.ai.

In this fast-paced session, Mark will explore how AI can help fraud teams:

✔ Build persistent, behavior-based identity models that evolve in real time
✔ Make transactions more dynamic based on risk, intent, and context
✔ Reduce the time lag fraud depends on with real-time decisioning
✔ Detect social engineering and manipulation before losses occur
✔ Create risk pricing and shared accountability models that make fraud less profitable

The session will challenge how fraud and risk leaders think about identity, transaction intelligence, and trust in the AI era.

Register now: https://sift.com/events/fraud-prevention-using-ai-to-shift-from-defense-to-offense?utm_source=facebook&utm_medium=social

06/09/2026

Fraud prevention doesn’t just stop bad actors. It also makes revenue decisions.

Every declined transaction is a choice: block risk or potentially lose a real customer. But while fraud losses and chargebacks are closely tracked, false declines often disappear from revenue reporting entirely.

In his new Payments Dive article, Sift CEO Marc Friend calls out the revenue leak many retail executives are missing: legitimate customers who make it to checkout, get declined, and never come back.

The cost is bigger than a single lost order. It includes wasted acquisition spend, lower repeat purchase rates, and customer relationships handed to competitors.

As Marc writes, the two questions every retail leader should ask are:

“What did we stop? And what did we cost ourselves stopping it?”

Retail teams that answer both will be better equipped to protect revenue, reduce customer insults, and fight fraud without creating unnecessary friction.

Read Marc’s full article in Payments Dive: https://www.paymentsdive.com/spons/the-revenue-leak-every-retail-executive-is-ignoring/821756/

06/08/2026

🏆 The G2 Summer 2026 Reports are live, and Sift has once again been recognized as a Leader in fraud prevention.

Based on verified customer reviews, Sift earned top rankings across key categories, including:

• Fraud Detection
• E-Commerce Fraud Protection
• Risk-Based Authentication

One customer shared:

"What I like best about Sift is how effectively it empowers me in my role as a Risk Investigator. The platform's machine learning models and real-time decisioning allow me to detect and act on suspicious activity quickly and with confidence."

Recognition like this means the most when it comes from the teams using Sift every day to make faster, more confident risk decisions.

Thank you to our customers for your continued trust, feedback, and partnership. Your voice helps us keep improving and helps more businesses stay ahead of evolving fraud threats.

Read why customers choose Sift: https://sift.com/customer-reviews/?utm_source=facebook&utm_medium=social

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

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

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.

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

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

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