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3 Legal Loopholes That Let Scammers Get Away with Fraud

Technology is changing faster than the law can keep up, and the internet hasn’t made catching criminals any easier. Federal law defines computer fraud as “the use of a computer to create a dishonest misrepresentation of fact as an attempt to [cause] loss.” And for the most part, scammers who carry out their schemes on […]

Meet Samir: the Caretaker of Cash

This post is part of a weekly series in which we get to know Sifties. Samir Rao, Sr. Financial Analyst at Sift Science, enjoys tacos and Hi-Chews – but not necessarily together. Prior to joining the team, he was an investment banker for JPMorgan in New York. Who do you admire the most? Aziz Ansari. He’s […]

The High Price of Catfishing and Romance Scams

Happy Valentine’s Day …. or is it? For many, the road to romance has always been paved with potential potholes – and the internet adds another dimension of uncertainty. For example: is that person you’ve been messaging really who they say they are? If you’ve never met in person, proceed with caution. Dating sites struggle […]

Meet Kevin: the Trust & Safety Superintendent

This post is part of a weekly series in which we get to know Sifties. Kevin Lee, our resident Trust and Safety Architect, has a weakness for British Marks and Spencer Wine Gums. He comes to us with extensive experience in the fraud and risk world, having previously led teams at Facebook, Square, and Google. Now he […]

4 E-Commerce Trends and What They Mean for Fraud

The way we buy is continually shifting toward convenience, simplicity, and speed. Great for shoppers, right? But this move towards instant gratification also presents a challenge for e-commerce companies: you potentially open yourself to more risk. As a business, how do you balance meeting consumers’ high expectations without increasing fraud? Let’s take a look at some current trends […]

Meet Michelle: the Maven of Account Management

This post is part of a weekly series in which we get to know Sifties. Michelle Arguelles is an account manager at Sift Science who understands the value of some high-quality chocolate (preferably with hazelnut). She’s been on the team for two years, previously working for three years as a risk analyst at WePay. What are […]

Is That Donation Site Legit? Tips to Tell the Real from the Fake

Even though the holiday season is over, the giving spirit doesn’t stop. Every so often there are disasters that take place (natural or manmade) that cause an outpouring of support. Think Syrian refugees, Nepal earthquake, the nuclear meltdown in Japan. Another example is a political situation that causes people to rally around a specific organization – […]

How the IoT is Changing Fraud

The FDA issues a warning that pacemakers and defibrillators might be “vulnerable to cybersecurity intrusions and exploits.” Meanwhile, hackers infiltrate home security cameras to get their hands on users’ private information, and companies like Samsung start building security systems into microwaves. It’s not science fiction; it’s the Internet of Things (IoT). What is the IoT? […]

Sift Science Fraud-Fighting Trends 2017

Fraud-fighting is the ultimate balancing act. On one side, you have risk – in the form of fraudsters, scammers, and other bad actors looking to leverage any opening they can to exploit your business for their own gain. On the other side, you have the goal of optimizing user experience – a priority for any modern online business that […]

Machine Learning Isn’t Always a Black Box

There are a number of common myths about machine learning, which we touched on in a previous post. Now, we want to dive deeper into one of those myths: that machine learning is a black box. While it’s true that many machine learning platform companies do not provide any insights about results or explain how their […]