Sift

Reducing fraud shouldn’t mean adding more friction. The next session in The Blueprint series explores how leading teams are balancing both across signup, login, and checkout without driving trusted users away. Join Jerry Hoff, CEO of AppSec Training, and Jeremy Cannon, Trust and Safety Architect at Sift, for a practical conversation on: 🔹 Where friction actually lives in the user journey 🔹 Which security steps protect revenue vs. just add drag 🔹 How to reduce abandonment while keeping ATO and payment fraud in check 🔹 How fraud, product, and CX teams can align around shared metrics Register here: https://lnkd.in/gXGP2TiS #FraudPrevention #CustomerExperience #AccountTakeover #DigitalTrust #TheBlueprint

Intercepting a chargeback before it even hits the finance team’s desk is the ultimate power move. 🤜🤛 Fraud prevention isn't a solo mission. It’s about protecting the entire business from the ripple effects of a bad transaction. When we win, the whole team wins. Tag your favorite teammate who always has your back in the queue. #TeamWin #FraudFighters #SuperSifters

Excited to share that Sift was shortlisted for the 2026 #PayTechAwards in the “Best AI Solution – Fraud Prevention & Combat for Businesses” category 🎉 Huge thanks to FinTech Futures for the recognition. Fraud prevention is changing fast, especially as AI reshapes both how businesses operate and how fraudsters attack. We’re proud to help companies stay ahead with faster, more accurate decisions that protect revenue without adding friction for trusted customers. Most of all, this recognition reflects the work of our team and the trust of our customers and partners. Grateful to be included alongside so many innovative companies in fintech and payments. See the full shortlist: https://lnkd.in/dRTRjaZ #FraudPrevention #AI #Fintech #Payments #TrustAndSafety

Fraud teams are under pressure to do more than stop attacks. They’re being asked to improve approval rates, reduce friction, support growth, and prove business impact all at once. That’s why we created The Blueprint: Sift’s new how-to webinar series built for fraud leaders who want practical guidance, not theory. Each session breaks down a real operational challenge with clear steps, tradeoffs, and examples from real companies, including topics like: 🔹 Building and scaling a modern fraud organization 🔹 Benchmarking fraud performance and identifying hidden gaps 🔹 Aligning fraud strategy with revenue goals 🔹 Balancing risk, customer experience, and operational efficiency Explore the series: https://lnkd.in/gAerwEJU

What happens when fraud prevention stops being viewed as a cost center and starts becoming a growth strategy? In a new conversation with Kyriba's Thomas Gavaghan, Sift CEO Marc Friend shares how modern companies can move beyond individual acts of heroism and build scalable systems, operating cadence, and decisioning strategies that drive long-term growth. The discussion explores: 🔹 Why fraud prevention should be treated as a revenue enabler 🔹 How machine learning can reduce friction while improving acceptance rates 🔹 The rise of agentic commerce and what AI-powered purchasing means for authentication, liability, and trust 🔹 How AI can challenge and strengthen strategy, messaging, and positioning 🔹 Why today’s CFO is evolving into a systems architect and strategic operator As commerce evolves, the companies that win will be the ones that can balance trust, speed, and scale. Watch the full conversation here: https://lnkd.in/gTxXUMda

Fraudsters move fast. Manual reviews don’t. That’s why speed matters. Sift delivers highly accurate fraud decisions in under 150ms so teams can stop fraud before it impacts revenue, customer trust, or operations. With real-time signals across the customer journey, businesses can: 🔹 Cut fraud losses 🔹 Shrink manual review queues 🔹 Keep approval rates high 🔹 Reduce friction for trusted customers Get the Fraud Out. Learn more: https://lnkd.in/gd2uRRey

From "Drowning in Alerts" to "Strategic Control." 📈 Most fraud teams feel like they’re playing a never-ending game of Whac-A-Mole. But when you move from manual rules to automated, signal-based intelligence, everything changes. Spend less time cleaning up the mess and more time building a defensible growth strategy. See how Sift automates the "busy work" so you can focus on the big picture: https://lnkd.in/gHrGSN3f

We’re getting close to a big milestone. 25,000 followers on LinkedIn 🎉 If you’ve been following along, engaging with our content, or sharing it with your network, thank you. It’s helped us reach more fraud and risk leaders around the world. Want to help us get there? Give us a follow, share a post, or tag someone in your network who cares about stopping fraud and protecting revenue. Our 25,000th follower will get some Sift swag 👀

There’s nothing like the moment a high-value fraud attempt gets declined. 🛡️ In a split second, you’ve protected revenue, stopped a bad actor, and kept a real customer from dealing with the fallout. Most people never see those decisions happen. But they add up fast, shaping both risk and growth. Fraud analysts are the unsung heroes of the digital economy. It’s time we started celebrating the saves. What was your #WorkWin this week? See more stories from our SuperSifters: https://lnkd.in/gHrGSN3f #WorkWins #TrustAndSafety #FraudPrevention