MaxMind is heading to ad:tech New York, one of the world’s largest conferences for digital brands and technology leaders. Come visit us at our booth and learn more about our GeoIP and minFraud products, and stick around for a speech hosted by our Director of Business Development Jenn Sessler.
Deciding on the right fraud prevention and IP intelligence provider can be a daunting task. With worldwide internet usage projected to grow every year, your choice matters now more than ever. So, make an informed, educated one with MaxMind’s Paladin Report.
Every year, more than a billion consumers shop on e-commerce websites. And in 2016, a new startup called Fomo set out to help merchants reach that audience. To do that, Fomo first needed to find a service partner with expertise in geolocation. They chose MaxMind. “We’re a relatively new company, but our growth has been phenomenal since we added MaxMind’s GeoIP2 Precision services,” said Fomo’s co-founder Ryan Kulp.
Santa had a problem, and the problem was kids. Not that he didn’t love the children – far from it, their happiness was why he did what he did after all – but now there were more than ever of them. World population had grown to the point where there were 2.2 billion children that potentially wanted a gift, and that was a lot of mince pies to get through in one night!
To ensure that he’d have time to make all the deliveries, he’d taken the unprecedented step of installing agents in homes around the world – elves that sat on shelves – who were able to report on any problem, from waking children to adverse weather conditions, that might slow him down. Traditionally, a Shelf Elf would report by flying home each night leading up to Christmas, but on the big night itself the elf would have to report back in real time. Luckily for Santa, so many houses had internet connections that the Elf could use to report issues via a simple web form the Wise Old Elf had set up on the North Pole extranet. Continue reading
As more and more TV, music, and movie content has moved online, a veritable industry has grown up around helping people to circumvent location based broadcast restrictions. Demonstrating the scale of the issue, GlobalWatchIndex reports that as many as 29% of VPN users globally accessed Netflix in one recent month. Tutorials for how to access this and other streaming services abound.
Streaming providers are required by content licensors to geographically restrict access to the content they license. Providers risk losing content licensors’ trust and ultimately risk losing their ability to license content from studios and other licensors if they are not able to restrict access based on where their customers are accessing this content from. This post describes the ways restrictions are being bypassed and offers some advice on solutions. Continue reading
If you use a GeoIP database, you’re probably familiar with MaxMind’s MMDB format.
At MaxMind, we created the MMDB format because we needed a format that was very fast and highly portable. MMDB comes with supported readers in many languages. In this blog post, we’ll create an MMDB file which contains an access list of IP addresses. This kind of database could be used when allowing access to a VPN or a hosted application.
The code samples I include here use the Perl MMDB database writer and the Perl MMDB database reader. You’ll need to use Perl to write your own MMDB files, but you can read the files with the officially supported .NET, PHP, Java and Python readers in addition to unsupported third party MMDB readers. Many are listed on the GeoIP2 download page. So, as far as deployments go, you’re not constrained to any one language when you want to read from the database.
Use our GitHub repository to follow along with the actual scripts. Fire up a pre-configured Vagrant VM or just install the required modules manually.
In our last blog post, we discussed how you can use a risk score to automate fraud screening, saving you time and money.
In this blog post, we begin our discussion of manual review best practices.
Studies show that, in North America, one in four orders on average receive extra scrutiny through the manual review process. The goal is to prevent the expense of chargebacks and customer issued credits associated with fraud. At the same time, you need to ensure that legitimate orders are not rejected unnecessarily, and estimates suggest that this is the case with up to 10% of orders. Rejecting good orders negatively impacts the bottom line, and drives away good customers.
During manual review, fraud analysts examine data associated with an order to assess how likely it is to be fraudulent. One key area of data points to consider is that of geolocation. Continue reading