The stability aspect of privacy detection data.
Our privacy detection data works based on behavior detection. This means that from our internet measurements, we can identify IP addresses that are proxy or VPN services based on their behavior. Additionally, we also include Tor, Relay, and Hosting IP addresses.
Our IP to privacy detection data is updated every day, and the data goes through a significant amount of change each day.
Each day, the data changes by a scale of 5%-8%. This includes the removal of ranges, insertion of new ranges, and changes in IP privacy methods.
The reason behind that change is that there are IP addresses that are not constantly being used as anonymous IP addresses. Consider that someone is running a VPN service from their data center. Or a person’s ISP connection can be used as a residential proxy service. Or, someone is just hosting a TOR exit node. Whenever they run this service, if we can identify the behavior, we will include that IP address or range in our daily privacy detection data. Now, if they switch those anonymous IP services off the next day, and we cannot detect any privacy masking service on that IP address, we will not include the IP address in our data.
So, we report what we see for the day.
Time is an important context in our privacy detection data. If your company saw chargeback fraud from a proxy IP address on one particular day, and then you use our data on another day, you might not see that IP address appear in our database if the anonymous IP service was shut off the day before.
Time context really matters. If you have a log of suspicious IP addresses and you want to evaluate our data, I highly recommend talking with our data expert rather than checking the day’s IP metadata. Our privacy detection methodology is a sophisticated service that requires communication between users and our data experts. We also have historical privacy detection data that could help you make informed decisions regarding our data.