As online fraud detection grows in complexity and demand, what qualities should security and risk management leaders look for in a solution? Get key recommendations for navigating the online fraud detection market from Gartner Research.Download now
Quick-service restaurants (QSRs) and tech are working in tandem, as a rapidly growing number of diners in the QSR space are using mobile devices to enhance their experience. Here's what QSRs need to know to protect their customers and business from fraud.
Learn how food & beverage organizations are leveraging Digital Trust & Safety and the power of Dynamic Friction to protect and grow their business, and tailor diners' experiences.
Dynamic Friction can make the holiday rush smooth and seamless by increasing roadblocks for fraudsters and giving trusted users a frictionless online experience. Learn how.
Apply Dynamic Friction with Verification by Sift to optimize user experiences based on risk – and stop treating customers like criminals.
Your users want the least amount of friction in their online experiences. Dynamic Friction reduces friction for trusted users while protecting against fraud.
Sift processes 35 billion events per month to uncover millions of fraudulent events. We analyzed our own data to uncover patterns of fraud.
With Dynamic Friction, good users don't have to get treated like fraudsters. Learn what it is, how it's applied, and how it supports growth, retention, and fraud prevention.
Learn what to expect from PSD2, what challenges it presents, and how adopting a Digital Trust & Safety strategy can stop fraud and minimize friction.
Sift's unparalleled accuracy is powered by the shared knowledge of over 34,000 sites and apps using our platform, which wouldn't be possible without the partnerships we've built across our global community.
We surveyed 1000 consumers to explore their experiences and perceptions regarding fake reviews as they relate to their favorite brands, and the challenges those reviews will create for e-commerce brands.
Hear directly from our customers how Sift is enabling them to grow and scale without risk.
The Second Payments Services Directive (PSD2) is a step toward more open and secure online payments, but it presents merchants with new challenges.
By leveraging Sift, our customers experience less fraud and accept more orders than the industry average.
The Sift Console tells the story behind the data to help you make quick, informed decisions. And now, with our Whitepages Pro integration, you can access third-party identity verification data directly within the console.
Managing risk and fighting fraud require more than just technology. Organizations that want to stay ahead in the fight against fraud must mature beyond reactive methods to the proactive, strategic Digital Trust & Safety approach.
How do some of the biggest e-commerce leaders grow at a pace that drowns out their competition? By fighting fraud while delivering great customer experiences – by adopting the Digital Trust & Safety method.
Consumers expect easy, seamless online experiences, and any added friction threatens to impact your conversion rates and revenue growth. Learn why e-commerce brands shouldn't wait to make their Digital Trust & Safety transformation.
Sahil Farooqi, head of customer care and safety at Rently, shares how a successful startup builds a winning fraud-fighting solution.
Take a deep dive into the Sift Console and watch a demo of Sift Insights to learn how Sift can protect and grow your business.
Your chargeback rate shouldn't be the only metric you're measuring your fraud team against. But which other metrics should you be leveraging?
Scaling leaves scars, but prioritizing effectively, having a positive mindset, and establishing positive momentum can help make the process less painful.
Fraud-fighting veterans Kevin Lee and Jeff Sakasegawa share the whats and whys of Digital Trust & Safety.
In this webinar, we’ll discuss best practices to transform your fraud team into a digital trust and safety organization that is built to thrive and enable your company to achieve mission-critical goals for 2019 and beyond.
Every instance of customer insult is risk for churn. It's time to stop treating good customers and bad users alike.
Your time shouldn't be devoted to manual review. Learn how Sift can get you back to the other tasks that need your attention, too.
Chargebacks hurt your bottom line. Learn how Sift can protect against them.
Learn how Sift gives you a scalable way to analyze risk across the user journey.
Get a deep dive into Sift's technology stack, data sources and processing, and machine learning models.
Digital Trust & Safety sees growth and fraud prevention as two sides of the same coin. Businesses must learn how to strike a balance between them to meet the challenges and opportunities of the digital world.
Daniel Aaronson, senior strategist on Google trust & safety search, sheds light on customer card scams and why they're so insidious.
Staying ahead of fraud and meeting customer demands is more difficult than ever. Using a legacy approach to manage risk and enable growth is no longer effective. You need a fresh approach that provides agility and flexibility: Digital Trust & Safety.
Cameron D'Ambrosi, host of the State of Identity Podcast, shares surprising lessons and insights we can draw from recent data breaches.
Learn how to leverage AI to align company incentives, better understand which users to trust, and get a seat at the product table to help drive company strategy.
Nomi Conway, former fraud fighter at Square who now works with nonprofits at UC Berkeley, explains why nonprofits are uniquely vulnerable to data breaches.
You’re fighting fraud, but how well are you doing?
Courtney Fahrer, a fraud expert and former head of marketplace operations at Wanelo, shares last-minute tips for the holiday fraud rush.
Don’t get caught unprepared during the busy holidays season! Stay on your toes with a peek into the latest fraud schemes trending on the dark web.
Not sure what to expect during the holiday fraud rush? Here are some tips to help you delight your customers while keeping your fraud rate low.
Kevin Beaver, author of Hacking for Dummies, shares how to train employees to avoid pitfalls that lead to data breaches.
David Yermack, NYU Professor of Business, shares a unique perspective on whether cryptocurrency and the blockchain are changing the face of fraud.
Fraud teams at brands like Jet.com and Wayfair use Sift to prevent fraudulent chargebacks, decrease their manual review rates, and build delightful customer experiences.
The global ticket market shows no signs of slowing down. The question now becomes: are there others with more nefarious ambitions looking to take some of this market share?
Patrick Presto, who handled risk & disputes at Square, shares how you can harness chargebacks to learn more about user experience.
Account takeover (ATO) –when a bad user gets access to a good user’s account – is a growing threat faced by online businesses across industries, from social networks and e-commerce merchants to SaaS and professional services.
Learn how machine learning and AI can keep your game and players safe from increasingly aggressive online criminals.
Daniel Sankey, compliance officer at Coinbase, talks about the methods businesses are using to fight cryptocurrency fraud.
In 2016, account takeover (ATO) was up 31% and total losses to consumers reached $2.3B. With data breaches constantly making headlines, there are no signs this trend will slow down anytime soon.
What trends should you be following for the next 6 months? We’ve pored over the data, sorted through the news, and interviewed experts and (former) fraudsters.
This webinar walks through the differences between rules and machine learning systems and discuss the pros and cons of both with insights from Paul Curwen, Risk Director at Omise.
Prevent credit card fraud with Sift Payment Protection. Learn how our cutting-edge technology and user-friendly console enable you to stop fraud before it happens.
Account takeover (or ATO) – when a bad actor uses stolen credentials to access a good user's account – is among the fastest growing types of fraud. And fake accounts harm a business' brand reputation.
Sift Content Integrity protects your community from spam and scams, helping leading businesses across the world automate content review, improve brand perception and conversion rates, and increase user engagement and retention rates.
Learn why machine learning is key to keeping up with growing user expectations and attacks.
Daniele Thillmann, SVP of Fraud and Payments at Green Man Gamin, reveals how businesses can confront the unique challenges of a digital vertical.
The concept of creating “a layered approach” to fraud fighting is often suggested and discussed by experts, but what does it look like in practice? And what layers are appropriate for what kinds of businesses?
Account takeover is arguably one of the greatest security threats to businesses. Not only does it serve as a great attack vector for criminal hackers, the consequences create serious business challenges such as identity theft.
Trust & safety experts Kevin Lee and Jeff Sakasegawa discuss best practices for keeping up the rapidly changing face of content fraud.
¿Necesitas crecer tu negocio sin que aumenten tus problemas de fraude? Sift es una solución que te puede ayudar a lograrlo.
Soon, the question of whether to leverage machine learning (ML) for fraud prevention won’t be debated – it will be a given. Get a deep dive into how ML works and why it outperforms other approaches.
Melissa Griffith, PhD candidate at UC Berkeley, explains how online fraud can have serious ramifications for national security.
Learn how online marketplaces are using Sift to stop fraud and grow.
What fraud topics should businesses be aware of? From trends in loss rates to data breaches and ATO, we'll discuss what's important for you to know in the here and now.
As online fraud detection grows in complexity and demand, what qualities should security and risk management leaders look out for in a solution? Get key recommendations for navigating the online fraud detection market from Gartner Research.
How Poshmark reduced spam and created a secure online community
The number of people who use online dating sites to meet potential partners has increased threefold since 2013. And fraud's gone up, too...
With machine learning-powered email filters, fraudsters have turned elsewhere to get their messages across: online communities, social networks, marketplaces, forums… anywhere you can post user-generated content.
You know that you’ve got a problem to solve but how will you address it? More importantly, who will help you address it?
Quantifying the cost of fraud and abuse will help you understand the health of your business, measure your success, get buy-in for resources, and measure the effectiveness of your fraud tools.
Oggie Nicolic of Google and Kevin Lee of Sift teach how to fight the ever-changing account takeover.
Learn about how to protect your brand and bottom line from the damaging effects of fake content.
The VP of Customer Success at Zoosk and Trust & Safety Architect at Sift share insights about mitigating fraud and abuse on dating sites.
For your business to succeed, you have to understand ATO from the perspective of a fraud fighter...and a fraudster. That's why we're sitting down with both!
How do travel companies deliver outstanding experiences without inviting fraud?
Learn best practices for handling your chargeback process.
We look back at 20 episodes of this podcast with guests from Amazon, WePay, LinkedIn, Google, and Square.
Get a handy checklist to best help you fight and win chargebacks
Account takeover is a growing problem. Learn how to protect your users, your brand, and your bottom line.
Learn about the unique challenges for on-demand businesses and the best solution for catching fraud at a low cost.
Find out how on-demand companies are using Sift to prevent fraud and create a great user experience.
Find out how Sift is helping ticketing companies prevent fraud and provide frictionless experiences.
Oggie Nicolic of Google and Kevin Lee of Sift explain why content abuse is so hard to fight, and how online marketplaces and communities should approach this challenge.
Learn how Sift helps companies prevent account takeover and block fake accounts.
Aberdeen Group presents actionable findings about how merchants can make cost-effective and timely business decisions when fighting fraud.
What fraud challenges arise in the fast-paced, unregulated world of cryptocurrency mining and blockchain?
How travel companies can meet travelers’ increasingly high expectations without opening themselves up to risk.
How is machine learning impacting the way we interact online? What is the future of trust & safety in a world of democratized machine learning?
See an overview of how Sift is helping travel companies stop fraud and grow revenue.
Don’t let fear of fraud stand in the way of enacting a comprehensive mobile strategy that maximizes conversions and delights customers. See how Sift can help.
With so much personal information flying back and forth between admirers, how does Zoosk keep its customers safe?
Learn about the recent stories of fake accounts in the news, understand the impact that fake accounts can have on a platform, and what signals can be used to detect them.
Aprenda como a Sift ajuda empresas on-line a acabar com fraude e veja um tour da nossa interface.
At Sift, Fred spearheads the development of creative and dynamic technology. What did he learn from behemoths like Amazon and startups like TeachStreet?
We commissioned Forrester Consulting to research the changing landscape of fraud and abuse. Find out how to move to a holistic focus on trust and safety.
Robert Lee, a fraud expert with experience at Twitter and Amazon, says fraud fighters are over-relying on a "one size fits all" approach.
Learn how Account Takeover Prevention allows you to secure your customers' trust by protecting their accounts from hackers.
How do analysts navigate the fast-paced world of online fraud? What challenges do they face? And what on earth do chocodiles have to do with it?
Learnings from Sift engineers on how to ensure correctness when conducting and analyzing machine learning experiments.
Learn about the overall landscape of ATO, how to measure the impact, and tactics for keeping account takeover at bay without increasing risk.
Without a culture of vulnerability disclosure, can white hat hackers do their job without risking severe legal penalties?
How does a fintech startup prevent -- and fight -- new and innovative types of fraud?
How do you measure the total cost of fraud management? In this webinar, Aberdeen Group presents actionable findings about how well merchants balance three fundamental business objectives.
Get insights from J-kai Hsu of Square and Kevin Lee of Sift on how merchants fight (and win) chargebacks via automation.
Kevin Lee of Sift and Courtney Bode of Wanelo discuss strategies for building a fraud team that spans continents.
With the continued growth of mobile commerce, how can merchants protect themselves from fraud and give good customers a frictionless experience?
Denise Aptekar, senior director of global payments at Upwork, has reconceptualized friendly fraud in a way that just might change the way you see chargebacks.
Fraud fighters from Patreon, Wanelo, and Sift share life-saving tips on how to prepare for the holidays.
Greg Wilson, risk product specialist at Gusto, tells us why payroll fraud matters more than you realize.
Sift's CEO and CTO describe the power of using machine learning to prevent fraud and grow securely.
Are you feeling the pain of credit card fraud, fake accounts, promo abuse, or spam? Get a step-by-step primer on how to protect your brand and bottom line.
Former FBI Most Wanted hacker Brett Johnson shows how fraud-fighters could inadvertently be making fraudsters' lives easier.
A deeper dive into how the get the most out of Sift's APIs and console.
The Secret Service calls Brett Johnson the “original internet godfather.” We sat down with him to chat about his adventures.
Kevin Lee of Sift and Paul Rockwell of LinkedIn show you how to get buy-in for your trust & safety team.
After integrating Sift in just a few weeks, KSL dropped its fraud review time by nearly 80%.
Learn how OpenTable used Sift to slash its manual fraud review rate from 30% to 5% in just a year.
Kevin Lee of Sift and Paul Rockwell of LinkedIn guide you through the process of building your fraud team.
Sift data reveals who's committing online fraud, how they're doing it, and where it's happening.
Learn how Zoosk used Sift to fight fraud and improve the user experience for their members.
FBI special agent MK Palmore gives us an unparalleled look at ATO.
A highlight video of Kevin Lee, Trust and Safety Architect, at Phocuswright 2017 where Sift won the Launch People’s Choice Award for Innovation.
Trust is the digital currency of the internet, enabling the flow of goods, services, and information online. Do you know how to make effective trust decisions?
What is machine learning? Who's using it? How does it work? Get answers to these questions and more.
Consultant and CNP editor Karisse Hendrick helps businesses better prepare for ATO.
How Patreon Optimized Chargebacks and Risk to Increase Revenue. After every successful holiday shopping season comes the unwanted rush of chargebacks.
How Cabify Keeps Fraud Down and Business Booming. On-demand businesses have flourished across a variety of industries and geographies, but face many unique challenges as fraudsters are attracted to their quick turnaround times.
This webinar will explore the impact of this evolving landscape on fraud, including insights from a former European online travel Risk Manager.
With customer interactions increasingly taking place online, the nature of fraud and abuse are changing.
This webinar will cover key strategies for combating chargebacks and give practical tips on how to scale chargeback operations at your company.
This webinar will highlight key signals that mobile enables, as well as give tips on applying those signals to reduce fraud and provide an enhanced customer experience.
Online businesses face a variety of fraud and abuse threats. With over 12,000 sites on our platform, we collect, analyze, and learn from 100s of millions of events every day.Talk to an expert
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