MaxMind Blog
MaxMind Blog
Data Updates for Apple iCloud Private Relay
We have updated our data in a number of ways in preparation for the rollout of iCloud Private Relay. We have worked with Apple’s to ensure that our data accurately reflects how Private Relay works and delivers the best possible experience for your users.
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This entry was posted in Featured entry 3, IP Geolocation, Online Fraud Prevention and tagged ip intelligence on September 9, 2021 by Christopher Luna.
DemystData’s fraud solutions offer best-in-class IP risk data from the minFraud service to help financial services firms prevent fraud
Demyst’s Platform has helped Tier 1 financial services firms modernize and leverage external data workflows for over 10 years. Account takeover and synthetic fraud can be expensive for Demyst’s clients in online payments, banking, and insurance. Demyst’s VP of Product Strategy Prashant Reddy explains that the data provided by the minFraud service fills a key niche in the solutions Demyst’s clients are creating.
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This entry was posted in Featured entry 2, Online Fraud Prevention and tagged financial services, fraud screening, minFraud, online fraud detection on September 7, 2021 by Christopher Luna.
New minFraud features: passing 3-D Secure outcome, custom rule label in minFraud response, “test” disposition for custom rules
We’re excited to share a couple of new features that we recently added to our minFraud service client APIs.
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This entry was posted in Online Fraud Prevention and tagged 3-D Secure, minFraud on September 3, 2021 by Christopher Luna.
Simplex uses minFraud data to train their algorithm to detect new cryptocurrency fraud patterns in real time
Simplex has been changing the status quo of crypto purchases since 2014. As the market leader, they pioneered the first riskless global fiat onramp using a credit and debit card, which promises a zero chargeback guarantee. With a zero chargeback guarantee in place, there’s a lot at stake in fraud detection and prevention. When they were putting together their platform, they knew from the beginning that they would need an agile, responsive algorithm at the heart of their fraud detection and prevention solutions. Simplex Data Analyst Talor Kars works closely with that algorithm.
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This entry was posted in Online Fraud Prevention and tagged crypto, fraud prevention, machine learning, minFraud on August 12, 2021 by Christopher Luna.
Learn how to import MaxMind GeoIP2 and GeoLite2 databases into PostgreSQL or MySQL
We’ve added documentation to our developer’s site giving a tutorial on how to import the CSV versions of our GeoIP2 and GeoLite2 databases into PostgreSQL and MySQL. In addition to the basic information about how to bring MaxMind’s data into these popular database frameworks, we have also included pointers from our dev team on how to index and organize them for faster searching.
You can import GeoIP2 and GeoLite2 data into your database in order to more easily manipulate and transform the data, or join and link the data with other datasets.Check out the tutorials for PostgreSQL and MySQL on our developer’s site.
This entry was posted in IP Geolocation and tagged database, GeoIP2, geolocation database, MySQL, PostgreSQL on July 15, 2021 by Christopher Luna.
How accurate is IP geolocation?
With nearly two decades in the business of IP geolocation, we spend a lot of time thinking about accuracy, but, as with all things big data, a simple question usually has a complex answer. As we approach our twentieth anniversary, we’ll be offering some insights into the industry. This month we’ll cover the basics, answering questions about how accurate IP geolocation is and why. In this post, we’ll talk about some common assumptions about how IP geolocation works and contextualize those assumptions in light of the structure of the internet and the distribution of the IP space across geographical regions. In light of these considerations, we’ll develop a deeper understanding of the constraints and opportunities for IP geolocation.
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This entry was posted in Featured entry 1, IP Geolocation and tagged geolocation, geolocation limitations, IP Geolocation on July 1, 2021 by Christopher Luna.
Research Defender uses minFraud as part of a homegrown solution to protect the integrity of research done on behalf of its customers.
When Vignesh Krishan founded Research Defender in 2018 he knew that managing fraud was critical in the global market research industry. The company set out to deliver high-quality consumer insights for companies in diverse industries all over the world. They understood even before they got started that ensuring the quality and integrity of the research was going to be essential to their success and the success of their customers.
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This entry was posted in Online Fraud Prevention and tagged consumer research, fraud detection, fraud prevention, minFraud, online surveys on June 28, 2021 by Christopher Luna.
What Are minFraud Alerts And What Do I Do With Them?
We recently released a number of updates to our minFraud alerts functionality, and we’d like to take the opportunity to explain how minFraud service customers can benefit from alerts.
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This entry was posted in Online Fraud Prevention and tagged minFraud, minFraud alerts, online fraud detection, transaction risk on May 12, 2021 by Miguel Atienza.
UMass’s Rescue Lab uses GeoIP2 to Help Rescue Children from Abuse
Leveraging the strengths and understanding the limits of IP geolocation, the Rescue Lab plays a critical role in rescuing children from online sexual exploitation crimes.
Warning: The following article discusses child sexual abuse and may be disturbing to some readers.
The scale of the problem is staggering. Every month, more than 800,000 people share images and videos of children being sexually abused. The sharing of these images is a re-victimization of the abused, haunting them well into their adulthood. And the investigation of sharing by law enforcement has time and time again led to the rescue of a different child being actively abused. The sheer volume of child sexual abuse materials being shared online poses what was, for many years, an impossible logistical challenge. 
The issue isn’t a lack of people who care. The problem is one of sorting. If there’s a pool of 800,000 potential cases, all of which occur in the geographically nebulous space of “the internet,” how do you distribute these cases among the thousands of people—law enforcement officers—who have devoted their lives to fighting child sexual abuse? Without a method to effectively sort investigations into geographical jurisdictions, the cases are unmanageable. Figuring which of these offenders may be in your area would be like looking for a needle in a haystack.
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This entry was posted in IP Geolocation and tagged case study, cybersecurity, geolocation limitations, security on April 5, 2021 by Christopher Luna.
How to map custom boundaries in Kibana with reverse geocoding
by Thomas Neirnyck
This article was originally published on The Elastic Blog on Jan 20, 2021.

This tutorial shows how you can leverage GeoIP data using tools developed by Elastic. Elastic builds software to make data usable in real time and at scale for search, logging, security, and analytics use cases. Elastic’s tools make it easier for operations teams to keep applications running, or give security professionals a one-stop-shop for spotting and neutralizing digital threats. Learn more at elastic.co.
Want to create a map of where your users are? With the GeoIP processor, you can easily attach the location of your users to your user metrics
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This entry was posted in IP Geolocation and tagged elastic, GeoIP2, geolocation, integration on March 3, 2021 by Christopher Luna.
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Data Updates for Apple iCloud Private Relay
DemystData’s fraud solutions offer best-in-class IP risk data from the minFraud service to help financial services firms prevent fraud
New minFraud features: passing 3-D Secure outcome, custom rule label in minFraud response, “test” disposition for custom rules
Simplex uses minFraud data to train their algorithm to detect new cryptocurrency fraud patterns in real time
Learn how to import MaxMind GeoIP2 and GeoLite2 databases into PostgreSQL or MySQL
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