In other cases the reason for a high riskScore may not be apparent from the outputs alone (e.g. use of a risky anonymizing IP, large distances between IP/billing/shipping addresses, etc.). If you are a minFraud Insights user, some of the outputs we return in the response may signal what is elevating the riskScore (e.g. The signal may be coming from the minFraud network at large, or something specific to the transactions you’ve been sending through your account. Our machine learning models and/or fraud pattern heuristics found some combination of inputs you’ve sent us to be high risk. Why did I get a high riskScore for this transaction? Please note that the distribution of riskScores you observe may differ depending on the risk profile of your business. You can use this data to estimate the number of transactions that will be approved, rejected, or held back for review given the thresholds you set.
#Maxmind ip database manual
After monitoring the riskScores received for the manually reviewed transactions, you can adjust the thresholds appropriately to reduce the amount of manual review required.īelow is the distribution of riskScores returned by the minFraud service across all users. One possible strategy is to at first only automatically accept transactions under a low riskScore (e.g., 5.00), only automatically reject orders above a high riskScore (e.g., 50.00), and manually review all other transactions. The risk strategy relevant to your business may mean more or less tolerance for risk as you begin using the riskScore. We recommend first considering the cost of fraud and potentially lost goods or services, the cost of manual review, and the cost of rejecting good transactions. Determining the thresholds you set for different actions requires fine tuning over time. The riskScore is a signal as to whether an online transaction is risky for your business.
IP address analysis including proxy detection and geolocation checks.Velocity analysis specific to your business and across the minFraud network.Reputation of IP addresses, email addresses, shipping addresses, phone numbers and devices.Some of the features that go into the riskScore are: The riskScore is built using a combination of machine learning models and human review of network-wide fraud patterns. For example, a transaction with a riskScore of 20.00 has a 20% chance of being fraudulent, while a transaction with a riskScore of 0.10 has a 0.1% chance of being fraudulent. The riskScore is given as a percentage, and as such it ranges from 0.01 to 99. The couple is suing after years of 'digital hell' as a result. MaxMind, a digital mapping company, choose the Arnold's house as the 'default location' for IP addresses it couldn't accurately map.
#Maxmind ip database license
We hash your license keys for security purposes, and as a result, we only display the first 4 characters of each key. You can manage your license keys (generate, edit, remove) by logging in to your MaxMind account and selecting ‘Manage License Keys’ login required from the Account Information navigation bar on the left.
Online businesses use the riskScore to determine whether to accept, reject, or manually review online transactions.
The riskScore, returned by the minFraud service, represents the likelihood that a given transaction is fraudulent.
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