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Gartner: How to Select a Machine Learning Vendor for Fraud Detection in Online Retail
It’s no longer a question of whether you need machine learning for fraud detection and prevention—it’s a given. Get key recommendations from Gartner on how to select a machine learning solution for online retailers.
Digital Trust & Safety Index: Holiday Fraud and the Shifting State of E-commerce
A year of economic disruption and a digital-first holiday shopping season have made fraudsters savvier and more sophisticated. Get our final Digital Trust & Safety Index of 2020 for new fraud attack strategies and data, e-commerce trends, and expert insights.
Looking Beyond your Bottom Line: Take Control of False-Positives to Drive Growth
The mandate for fraud prevention teams in the age of the customer is evolving. While mitigating chargebacks and other fraud remains the core, 75% say delivering frictionless experiences is also a top priority. Unfortunately, most trust & safety leaders say that their existing solutions block good users—and just 30% say they know how many. The reality is that without adapting your approaches and tools, it can be impossible to measure your false positive rate and how much revenue you’re leaving on the table.
Friction, Fraud, and Fintech: Delivering Speed and Security with Digital Trust & Safety
Consumers and businesses rely on fintech services to manage capital with flexibility, transparency, and speed—but fraudsters are standing by to take advantage. So how do fintech services create quick and frictionless experiences for users without putting them at risk, or compromising growth? With a Digital Trust & Safety approach, you can reduce roadblocks, proactively stop fraud and grow your business.
Fraud Prevention in E-commerce Report 2020/2021
The Paypers' 2020/2021 Fraud Prevention in E-commerce Report explores emerging trends in fraud prevention, how trust and safety experts are using AI and ML technology, and what you need to know aboutPSD2 SCA compliance.
Digital Commerce 360 Retail: Tips to Fight Fraud During Covid Times
Explore this new report to learn 12+ strategies for fighting fraud during the pandemic, the true impact of digital gift card and BOPIS/BORIS fraud, retail fraud insights from LexisNexis and NuData, and everything you need to know about Magecart.
The Real-Time Value of Ingesting Chargeback Data with Sift Connect
Fraud teams across all businesses struggle to close the feedback loop between transaction review and chargeback disputes. With new automated chargeback ingestion, fraud teams can now scale manual review, make more accurate decisions, and identify new patterns of abuse.
Sift and Magento: Taking a Digital Trust & Safety Approach to Grow Your E-commerce Business
Adapting to a Digital Trust & Safety fraud approach, can help e-commerce businesses do just that. Hear from the experts the most recent research in e-commerce trends, what the winners are doing, and why they are doing it.
Fraud and Retail E-commerce: Prepping Trust and Safety Teams for an Unpredictable Holiday Season
When it comes to fighting fraud during this year’s holiday season—a time when, any other year, e-commerce would likely be booming and fraudsters would be after the usual targets—all we can really expect is change. Now more than ever it is important to be proactive with your trust and safety approach.
Looking Beyond Your Bottom Line: Take Control of False Positives to Drive Growth
The mandate for fraud prevention teams in the age of the customer is evolving. While mitigating chargebacks and other fraud remains the core, 75% say delivering frictionless experiences is also a top priority. Unfortunately, most trust & safety leaders say that their existing solutions block good users—and just 30% say they know how many. The reality is that without adapting your approaches and tools, it can be impossible to measure your false-positive rate and how much revenue you’re leaving on the table.
Deploying Digital Trust & Safety
A step-by-step guide to implementing a successful Digital Trust & Safety strategy to stop fraud and grow your business.
Digital Trust & Safety: The next big thing for luxury e-commerce fraud management
COVID-19 has accelerated the adoption of technology in all spaces, including luxury retail. In order to maintain the in-store experience that luxury stores have mastered, omnichannel and other digital strategies have been adopted to bridge the gap between in-store and online. Unfortunately, fraudsters have found ways to exploit those efforts, including card not present fraud. With a digital trust & safety approach, luxury retailers can grow their digital presence without being held back by fraud.
Account Takeover Toolbox: Using Security Notifications and 2FA to Stop ATOs and Protect User Accounts
Now more than ever businesses should consider adopting a Digital Trust & Safety solution that is capable of stopping account takeover attempts while providing a frictionless user experience. Hear from the experts on the front line how two-factor authentication and security notifications can protect your user base and grow your business.
Take Fraud Off the Menu: Grow and protect your business with Digital Trust & Safety
Instant gratification and ease of use shape go-to-market strategies for nearly every brand around the globe, even driving major decisions for industry leaders that have no intention of losing market share. For quick-service restaurants (QSRs), this means giving diners what they want, when they want it. This convenience has contributed to the rapid growth of QSRs over the years. Unfortunately, that growth comes with a side of fraud.
Content Abuse and the Fraud Economy
E-commerce and digital adoption of services has surged over the last several months. With that increase in use, comes an increase in fraud. More specifically, content abuse like spams and scams in user-generated content–– can lead to brand abandonment, data breaches, and considerable financial loss.
Lessons in Fraud From the Front Line: Fighting back with machine learning
During the global pandemic, online finance, banking, and crypto have surged. This has accelerated the adoption of online consumer services in the financial world … and created opportunities for fraudsters to flourish as companies race to keep up with consumer needs.
How Account Abuse Became Fraud's New Normal and How You Can Stop It
The introduction of dynamic fraud protection, and the utilization of 3rd party data to make informed decisions quickly, allows for a flawless customer experience while stopping fraud in its tracks. Join this webinar with Sift and Ekata to learn how your company can battle challenges like promo abuse, ATO, and synthetic identities to retain and grow your user base.
Digital Trust & Safety Index: Account Takeover Fraud and the Growing Burden on Business
Fraudsters use account takeover attacks to steal personal details, payment information, and rewards points, leading to major financial losses, irreversible brand abandonment, and stunted growth. We’ve surfaced new market insights and data from our global network to help you spot ATO trends and fight rising account takeover fraud.
Mindset and Measurement: The Keys to Attacking Your False-Positive Problem
Learn how to fight false positives and the damage they do to brand loyalty and your bottom line.
COVID-19 Chargebacks: Where We Find Ourselves Now
Learn how to reconcile the fraud implications of COVID-19, including a dramatic rise in chargebacks.
Fraud Fighting in the Time of COVID-19
Sift CEO, Jason Tan, sits down with Sift Trust & Safety Architect, Jeff Sakasegawa, to talk about how the pandemic has affected the fight against fraud.
Digital Trust & Safety Index: Content Abuse and the Fraud Economy
Fraudsters frequently use fake content to hijack sensitive information, which often results in irreversible brand abandonment and stunted growth. We’ve unearthed new market insights and data from our global network to help you fight emerging content abuse tactics and trends.
Friendly Fraud in Europe: How To Win Chargeback Disputes
Learn how to optimize your strategies and win more friendly fraud chargebacks during the COVID-19 pandemic.
Digital Trust & Safety: Real-Time Fraud Prevention for the Right-Now Economy
On-demand features like one-click checkout, quick delivery, and BOPIS are critical for today's consumers, but they also give fraudsters opportunities to exploit your business and customers.
Digital Trust & Safety: Powerful, Holistic Fraud Prevention for E-Commerce
Consumers are going online to make more day-to-day purchases than ever. And while e-commerce growth has skyrocketed during the global pandemic, so has online fraud.
Digital Trust & Safety: Complete, Real-time Fraud Protection for Fintech
The same strategies that drive growth in fintech services can also increase the risk and impact of fraud. Discover how to catalyze growth while providing the security, flexibility, and transparency consumers rely on.
Adapting to Fraud's New Normal: Digital Goods & Services
As more people turn to the internet to fulfill everyday needs, the digital goods and services vertical is seeing a massive uptick in traffic—and fraud. Protect your platform and customers from this growing threat.
Friendly Fraud: How Trust & Safety Experts Win Disputes
Learn how to fight friendly fraud chargebacks in the time of COVID-19, win more disputes, and use the Sift console as compelling proof.
2020 Gartner Market Guide for Online Fraud Detection
As online fraud detection grows beyond traditional use cases, 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.
Fraud's New Normal: Finding Predictability in Unpredictable Times
Fraud is evolving rapidly in the wake of COVID-19. Learn how to future-proof your business with insights from industry experts.
Digital Trust & Safety Vendor Evaluation Checklist: Machine Learning vs. Rules
Use this vendor evaluation checklist to compare rules-based fraud prevention platforms to Sift's real-time machine learning.
Digital Trust & Safety Vendor Evaluation Checklist: Machine Learning Platforms
Use this straightforward vendor evaluation checklist to compare machine learning-based fraud prevention providers.
Measuring ATO: Fight the Fastest Growing Type of Fraud with Real-Time Prevention
The frequency of ATO attacks is growing, and businesses need to stay on top of the tools, tactics, and strategies needed to protect trusted users' accounts and the company's reputation.
Fraud Prevention During Economic Unrest
Read this guide to learn how to adapt your fraud fighting tactics to uncertain times, identify new scams, and prevent fraud analyst burnout.
The Definitive Guide to Reporting on Fraud
You're fighting fraud, but how well are you doing? With reporting from Sift Insights, you'll unlock real-time visibility into key metrics you need to stay informed.
Sift + Salesforce Commerce Cloud Cartridge
Achieve best-in-class growth by aligning risk and revenue with our Commerce Cloud cartridge.
Not All Machine Learning Solutions are Created Equal: The unmatched value of real-time fraud prevention and global data
Online businesses are starting to feel the major limitations of traditional fraud prevention platforms using what’s known as “checkbox” machine learning. A single algorithm, limited data set, and bi-monthly model updates still technically count as machine learning. But are they end-to-end solutions that significantly reduce manual review while driving growth? No.
Adapting to Fraud's New Normal: Online Learning Platforms
As the face of fraud rapidly changes, online learning platforms have become a frequent target of opportunistic cybercriminals. The time is now to protect your platform from this growing threat.
Adapting to Fraud's New Normal: Fundraising Platforms
Fraudsters are targeting fundraising platforms at an alarming rate as the landscape of fraud continues to rapidly change. It's more important than ever to protect your donors – here's how.
Stop Losing Good Customers: How to Intelligently Prevent Fraud and Drive More Growth
Knowing your Customer Insult Rate is the first step in reducing its impact on your business while enhancing your customers' experiences. But where do you start?
Insult Monitor
Don't let false positives send your customers to the competition. Measure the hidden cost of customer insults, accept more orders, and create better customer experiences with Insult Monitor.
The State of Digital Trust & Safety: How New Industry Data Is Changing the Way We Fight Fraud
New Sift research reveals the latest industry fraud trends that Trust and Safety professionals need to know to stay a step ahead of scams.
Digital Trust & Safety Index: A Rapidly-Changing Fraud Landscape
Fraudsters are constantly changing tactics to throw Trust and Safety professionals off their scent. But we have the insights into their latest strategies to keep your business and customers safe from the newest fraud trends.
Digital Trust & Safety for QSRs: Turning the tables on fraud
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.
May I take your order? Opening Up the Menu of Customer Experience Using Dynamic Friction
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.
Naughty or Nice? Taking Action with Dynamic Friction
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.
Dynamic Friction: Verification
Apply Dynamic Friction with Verification by Sift to optimize user experiences based on risk – and stop treating customers like criminals.
Dynamic Friction: Delivering the Right Experiences at the Right Time
Your users want the least amount of friction in their online experiences. Dynamic Friction reduces friction for trusted users while protecting against fraud.
Fraud Aftershock Index: A Look Into How and Where Today’s Fraudsters Will Strike Tomorrow
Sift processes 35 billion events per month to uncover millions of fraudulent events. We analyzed our own data to uncover patterns of fraud.
The Art and Science of Dynamic Friction: The Where, When, and How of Applying Pressure on 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.
PSD2: The Good, the Bad and the Costly
Learn what to expect from PSD2, what challenges it presents, and how adopting a Digital Trust & Safety strategy can stop fraud and minimize friction.
Technology. Community. Partnership. The Sift Way.
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.
Fake Reviews: A Growing Fraud Concern Affecting Brand Loyalty and Growth
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.
Sift Customer Experience
Hear directly from our customers how Sift is enabling them to grow and scale without risk.
Managing risk, friction, and growth under PSD2
The Second Payments Services Directive (PSD2) is a step toward more open and secure online payments, but it presents merchants with new challenges.
Sift Customer Results
By leveraging Sift, our customers experience less fraud and accept more orders than the industry average.
Whitepages Pro Integration Demo
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.
How to Level-Up Your Fraud Fighting with Digital Trust & Safety
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.
Digital Trust & Safety: How E-Commerce Leaders Dominate
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.
Digital Trust & Safety: Five Reasons Why the Time is Now for E-Commerce Brands
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.
Building a Hybrid Fraud-Fighting Approach
Sahil Farooqi, head of customer care and safety at Rently, shares how a successful startup builds a winning fraud-fighting solution.
MRC Series – Console Overview and Sift Insights Demo
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.
MRC Series – KPIs: Tips on Measuring Your Ops Team
Your chargeback rate shouldn't be the only metric you're measuring your fraud team against. But which other metrics should you be leveraging?
MRC Series – The Scars of Scaling
Scaling leaves scars, but prioritizing effectively, having a positive mindset, and establishing positive momentum can help make the process less painful.
Digital Trust & Safety 101: The Whats and Whys
Fraud-fighting veterans Kevin Lee and Jeff Sakasegawa share the whats and whys of Digital Trust & Safety.
Building Lasting Loyalty
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.
Accepting More Orders with Sift
Every instance of customer insult is risk for churn. It's time to stop treating good customers and bad users alike.
Streamlining Manual Review with Sift
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.
Reducing Chargebacks with Sift
Chargebacks hurt your bottom line. Learn how Sift can protect against them.
Sift Digital Trust & Safety Suite
Learn how Sift gives you a scalable way to analyze risk across the user journey.
How Sift Works
Get a deep dive into Sift's technology stack, data sources and processing, and machine learning models.
Leading the Digital Trust & Safety Transformation
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.
Customer Card Scams: An Existential Threat
Daniel Aaronson, senior strategist on Google trust & safety search, sheds light on customer card scams and why they're so insidious.
Leading the Digital Trust & Safety Transformation
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.
Data Breaches: Lessons and Insights
Cameron D'Ambrosi, host of the State of Identity Podcast, shares surprising lessons and insights we can draw from recent data breaches.
How AI can help Risk Managers streamline processes & unlock resources for more strategic tasks
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.
Data Breaches and Nonprofits: Surprising Vulnerabilities
Nomi Conway, former fraud fighter at Square who now works with nonprofits at UC Berkeley, explains why nonprofits are uniquely vulnerable to data breaches.
Ready for the Holiday Fraud Rush? Not Without this Podcast
Courtney Fahrer, a fraud expert and former head of marketplace operations at Wanelo, shares last-minute tips for the holiday fraud rush.
Holiday Fraud Trends Targeting Retailers
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.
10 Tips for the Holiday Fraud Rush
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.
Stopping Data Breaches for Dummies
Kevin Beaver, author of Hacking for Dummies, shares how to train employees to avoid pitfalls that lead to data breaches.
Crypto and the Dark Web: A Business School Prof on the Future of Fraud
David Yermack, NYU Professor of Business, shares a unique perspective on whether cryptocurrency and the blockchain are changing the face of fraud.
Using Sift for E-commerce fraud prevention
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.
That’s the ticket! The evolution of fighting content abuse
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?
Chargebacks: A Snapshot of User Experience
Patrick Presto, who handled risk & disputes at Square, shares how you can harness chargebacks to learn more about user experience.
A Snapshot of Account Takeover
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.
Fight Gaming Fraud with AI and Machine Learning
Learn how machine learning and AI can keep your game and players safe from increasingly aggressive online criminals.
Blockchain, Crypto, and the Future of Fraud
Daniel Sankey, compliance officer at Coinbase, talks about the methods businesses are using to fight cryptocurrency fraud.
How to Detect and Prevent Account Takeover
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.
5 Trends Redefining Fraud
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.
Rules, Machine Learning, and the Best Way to Fight Fraud
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.
Payment Protection Demo
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 Defense Demo
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.
Content Integrity Demo
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.
Rules vs Machine Learning
Learn why machine learning is key to keeping up with growing user expectations and attacks.
Fraud in the Online Gaming Industry
Daniele Thillmann, SVP of Fraud and Payments at Green Man Gamin, reveals how businesses can confront the unique challenges of a digital vertical.
Layering Fraud Tools To Protect Your Business
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?
Taking on Account Takeover
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.
Content Moderation: Best Practices
Trust & safety experts Kevin Lee and Jeff Sakasegawa discuss best practices for keeping up the rapidly changing face of content fraud.
Como prevenir el fraude online con Sift
¿Necesitas crecer tu negocio sin que aumenten tus problemas de fraude? Sift es una solución que te puede ayudar a lograrlo.
Machine Learning for Fraud Prevention: What’s Next
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.
International Fraud and Cybersecurity
Melissa Griffith, PhD candidate at UC Berkeley, explains how online fraud can have serious ramifications for national security.
Sift and Online Marketplaces
Learn how online marketplaces are using Sift to stop fraud and grow.
State of Fraud
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.
Poshmark Testimonial
How Poshmark reduced spam and created a secure online community
Fraud in the World of Online Dating
The number of people who use online dating sites to meet potential partners has increased threefold since 2013. And fraud's gone up, too...
The 9 Flavors of Content Spam
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.
Building vs Buying
You know that you’ve got a problem to solve but how will you address it? More importantly, who will help you address it?
Calculate the Cost of Fraud and Abuse to Your Business
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.
How Two Trust & Safety Experts Fight ATO
Oggie Nicolic of Google and Kevin Lee of Sift teach how to fight the ever-changing account takeover.
Stopping Content Abuse Before It Happens
Learn about how to protect your brand and bottom line from the damaging effects of fake content.
Fighting Fraud in Online Dating
The VP of Customer Success at Zoosk and Trust & Safety Architect at Sift share insights about mitigating fraud and abuse on dating sites.
ATO: Insights from a Fraud Fighter...and a Fraudster
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!
Growth vs. Risk in the Travel Industry
How do travel companies deliver outstanding experiences without inviting fraud?
10 Tips for Winning Chargebacks
Learn best practices for handling your chargeback process.
20 Things We've Learned from Our Guests
We look back at 20 episodes of this podcast with guests from Amazon, WePay, LinkedIn, Google, and Square.
Chargeback Checklist
Get a handy checklist to best help you fight and win chargebacks
Complete Guide to Account Takeover
Account takeover is a growing problem. Learn how to protect your users, your brand, and your bottom line.
Trust & Safety for On-Demand Businesses
Learn about the unique challenges for on-demand businesses and the best solution for catching fraud at a low cost.
Sift and On-Demand Businesses
Find out how on-demand companies are using Sift to prevent fraud and create a great user experience.
Sift and the Ticketing Industry
Find out how Sift is helping ticketing companies prevent fraud and provide frictionless experiences.
Content Abuse: A Rising Threat
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.
Sift Account Defense
Learn how Sift helps companies prevent account takeover and block fake accounts.
Quantifying the Total Cost of Ecommerce Fraud
Aberdeen Group presents actionable findings about how merchants can make cost-effective and timely business decisions when fighting fraud.
Cryptocurrency: An Uncharted Fraud Frontier
What fraud challenges arise in the fast-paced, unregulated world of cryptocurrency mining and blockchain?
Machine Learning: The Future of Fraud Fighting in the Travel Industry
How travel companies can meet travelers’ increasingly high expectations without opening themselves up to risk.
Trust & Safety in the Era of Machine Learning
How is machine learning impacting the way we interact online? What is the future of trust & safety in a world of democratized machine learning?
Sift and the Travel Industry
See an overview of how Sift is helping travel companies stop fraud and grow revenue.
Maximizing Mobile Opportunities
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.
A Zoosk VP on Fraud and Fairytales
With so much personal information flying back and forth between admirers, how does Zoosk keep its customers safe?
Understanding and Combating Fake Accounts
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.
Sift Console Demo (Portuguese)
Aprenda como a Sift ajuda empresas on-line a acabar com fraude e veja um tour da nossa interface.
Interview with Sift CTO Fred Sadaghiani
At Sift, Fred spearheads the development of creative and dynamic technology. What did he learn from behemoths like Amazon and startups like TeachStreet?
Mitigating Threats Beyond Payment Fraud
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.
Risk-Based Fraud Fighting: One Size Fits None
Robert Lee, a fraud expert with experience at Twitter and Amazon, says fraud fighters are over-relying on a "one size fits all" approach.
Product Overview – Account Takeover Prevention
Learn how Account Takeover Prevention allows you to secure your customers' trust by protecting their accounts from hackers.
Chocodiles and Chargebacks: Stories from Veteran Fraud-Fighters
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?
Running Effective Offline Machine Learning Experiments
Learnings from Sift engineers on how to ensure correctness when conducting and analyzing machine learning experiments.
Understanding and Combating Account Takeover
Learn about the overall landscape of ATO, how to measure the impact, and tactics for keeping account takeover at bay without increasing risk.
White Hat Hacking: Promises and Peril
Without a culture of vulnerability disclosure, can white hat hackers do their job without risking severe legal penalties?
A Fintech Navigates the World of Fraud
How does a fintech startup prevent -- and fight -- new and innovative types of fraud?
Quantifying the Total Cost of eCommerce 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.
Cleaning Up Ecommerce
Get insights from J-kai Hsu of Square and Kevin Lee of Sift on how merchants fight (and win) chargebacks via automation.
Building an International, Dynamic Fraud Team
Kevin Lee of Sift and Courtney Bode of Wanelo discuss strategies for building a fraud team that spans continents.
Mobile Makes The World Go ‘Round
With the continued growth of mobile commerce, how can merchants protect themselves from fraud and give good customers a frictionless experience?
Rethinking Chargebacks
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.
The Great Holiday Fraud Prevention Roundtable
Fraud fighters from Patreon, Wanelo, and Sift share life-saving tips on how to prepare for the holidays.
Yes, You Should Care about Payroll Fraud
Greg Wilson, risk product specialist at Gusto, tells us why payroll fraud matters more than you realize.
About Sift
Sift's CEO and CTO describe the power of using machine learning to prevent fraud and grow securely.
Kickstart Your Fraud-Fighting Strategy
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.
Interview with an FBI Most Wanted Hacker
Former FBI Most Wanted hacker Brett Johnson shows how fraud-fighters could inadvertently be making fraudsters' lives easier.
How Does Sift Work?
A deeper dive into how the get the most out of Sift's APIs and console.
Pirate and a Good Man: Interview with an FBI Most Wanted Hacker
The Secret Service calls Brett Johnson the “original internet godfather.” We sat down with him to chat about his adventures.
Building a Trust & Safety Team - Part 2
Kevin Lee of Sift and Paul Rockwell of LinkedIn show you how to get buy-in for your trust & safety team.
KSL Testimonial
After integrating Sift in just a few weeks, KSL dropped its fraud review time by nearly 80%.
OpenTable Testimonial
Learn how OpenTable used Sift to slash its manual fraud review rate from 30% to 5% in just a year.
Building a Trust & Safety Team - Part 1
Kevin Lee of Sift and Paul Rockwell of LinkedIn guide you through the process of building your fraud team.
The United States of Fraud
Sift data reveals who's committing online fraud, how they're doing it, and where it's happening.
Zoosk Testimonial
Learn how Zoosk used Sift to fight fraud and improve the user experience for their members.
ATO Fraud-Fighting with the FBI
FBI special agent MK Palmore gives us an unparalleled look at ATO.
Sift’s Win at Phocuswright 2017
A highlight video of Kevin Lee, Trust and Safety Architect, at Phocuswright 2017 where Sift won the Launch People’s Choice Award for Innovation.
Power Your Business Growth With Trust
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?
Intro to Machine Learning – The Future of Fraud Fighting
What is machine learning? Who's using it? How does it work? Get answers to these questions and more.
Alarmism & ATO: Interview with Karisse Hendrick
Consultant and CNP editor Karisse Hendrick helps businesses better prepare for ATO.
Turning Coal Into Gold
How Patreon Optimized Chargebacks and Risk to Increase Revenue. After every successful holiday shopping season comes the unwanted rush of chargebacks.
Accelerating On-Demand Business With Trust
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.
Modern Techniques to Combat Online Travel Fraud
This webinar will explore the impact of this evolving landscape on fraud, including insights from a former European online travel Risk Manager.
Building Trust Beyond the Chargeback
With customer interactions increasingly taking place online, the nature of fraud and abuse are changing.
Scaling Chargeback Management
This webinar will cover key strategies for combating chargebacks and give practical tips on how to scale chargeback operations at your company.
Taking advantage of the Mobile Wave
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.
A network of trust
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.
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