Not sure what to expect during the holiday fraud rush? Here are some tips and strategies 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 Science 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.
Sift Science is the only platform that learns and updates in real time — generating new fraud predictions within milliseconds of receiving data from across our Digital Trust Network.
Fraudsters are eager to exploit the personal and financial information we all store online, and businesses pay a hefty price: financial loss, community degradation, legal and compliance issues, brand damage, and more.
Content abuse – including scams, spam and other fraudulent content – is one of the fastest growing types of fraud. It’s never been more critical to protect your community from malicious attacks, while creating the best experience possible for good users.
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 Science 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 Science 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
Sometimes it feels like all your friends met their significant others online. And while that’s not quite true, the number of people who use online dating sites to meet potential partners has increased threefold since 2013.
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?
The damage done by fraud and abuse isn’t always easy to quantify. But getting clear on the numbers 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 Science 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 Science 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 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 Science to prevent fraud and create a great user experience.
Find out how Sift Science is helping ticketing companies prevent fraud and provide frictionless experiences.
Oggie Nicolic of Google and Kevin Lee of Sift Science explain why content abuse is so hard to fight, and how online marketplaces and communities should approach this challenge.
Learn how Sift Science helps companies prevent account takeover and create a great user experience.
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 Science 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 Science can help.
Learn how Account Abuse Prevention allows you to add more real users without the worry of fake accounts.
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 Science ajuda empresas on-line a acabar com fraude e veja um tour da nossa interface.
At Sift Science, 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 to make the most of the Sift Science Console and fight fraud more effectively.
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?
Learn how real-time machine learning can help to reduce chargebacks while automatically accepting more payments.
Learnings from Sift Science 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?
Check out a quick overview of how Account Takeover Prevention uses machine learning to detect malicious logins, while removing friction for good users.
Learn how you can move your fraud business logic into Sift Science so that it's easier to maintain and customize.
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.
Learn how to build and manage your fraud business processes with Workflows. We’ll walk you through setting up automated decisions and manual review.
Get insights from J-kai Hsu of Square and Kevin Lee of Sift Science on how merchants fight (and win) chargebacks via automation.
Kevin Lee of Sift Science 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?
Learn tips and tricks for using the Sift Science console for fraud review.
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.
Get an overview of how chargebacks work, and learn how to detect and prevent online fraud.
Fraud fighters from Patreon, Wanelo, and Sift Science share life-saving tips on how to prepare for the holidays.
Learn how Sift Science predicts fraud in real time – with unparalleled accuracy – so you stay ahead of the bad guys.
Greg Wilson, risk product specialist at Gusto, tells us why payroll fraud matters more than you realize.
All about machine learning – the future of fraud fighting.
Sift Science'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 case study in how OpenTable takes the risk out of real-time commerce.
A deeper dive into how the get the most out of Sift Science's APIs and console.
The Secret Service calls Brett Johnson the “original internet godfather.” We sat down with him to chat about his adventures.
Andras Cser of Forrester and Jason Tan of Sift Science discuss real-time machine learning for fraud prevention.
These days, a lot of fraud vendors claim to “do machine learning.” So, how do you tell the difference? Read this handy guide.
Kevin Lee of Sift Science and Paul Rockwell of LinkedIn show you how to get buy-in for your trust & safety team.
After integrating Sift Science in just a few weeks, KSL dropped its fraud review time by nearly 80%.
We're committed keeping our customers' data safe. Learn about how we manage data privacy and security.
Learn how OpenTable used Sift Science to slash its manual fraud review rate from 30% to 5% in just a year.
Kevin Lee of Sift Science and Paul Rockwell of LinkedIn guide you through the process of building your fraud team.
Sift Science data reveals who's committing online fraud, how they're doing it, and where it's happening.
Learn how Zoosk used Sift Science to fight fraud and improve the user experience 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 Science 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.
Sift Science can help you scale your fraud processes as your business scales, allowing you to accept more orders, reduce review time to a minimum, and keep fraudsters at bay.
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.