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WEBINAR: Leading the Digital Trust & Safety transformation
Too often, fraud prevention gets in the way of a company’s growth goals. But it doesn’t have to be this way. Join Forrester and Sift to find out how Digital Trust & Safety can help you increase customer satisfaction securely, without increasing risk.
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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.
The Definitive Guide to Reporting on Fraud
You’re fighting fraud, but how well are you doing?
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.
Gartner’s Market Guide for Online Fraud Detection
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.
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.
Not All Machine Learning Systems Are Created Equal
These days, a lot of fraud vendors claim to “do machine learning.” So, how do you tell the difference? Read this handy guide.
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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