Demo Video: Domain Abuse Monitor

Are you a TLD registry operator looking for an affordable and intuitive ICANN Spec 11.3.b compliant abuse monitoring and case management platform?

Take 9 minutes and watch my June 2018 update demo of the RegistryOffice Abuse Monitor.

Abuse Monitor consists of two major components:

  1. Abuse Detection. The service must be able to detect threats as they occur and immediately notify you with few or non false positives.
  2. Case Management. When you are notified about malicious activity, how do you make sure you handled it professionally? How do you make sure you don’t forget to follow up a case and keep track of the actions taken? You need a proper CRM or Case Management System for your abuse cases.

It’s built from the bottom up to be as cost efficient as possible, but at the same time provide ICANN Compliance.

The Basic version was developed for .brands and smaller registries that have little to no abuse. The Standard version is best suited for open registries that actively want to combat any and all malicious activities in their zone.

The professionally managed option (available for either version) has been selected by some registry operators. It’s great if you don’t have much experience in handling abuse. It’s also great even if you have staff that can handle follow-up, but would rather have them focus on stuff like sales, marketing, operations, etc. instead of dealing with abusive registrants and filing reports to ICANN.

Please contact me for an in-depth demo and discussion.

Published by pinkybrand

I publish to three blogs. One (PinkysEye.com) is related to my lifelong interest in photography, video, wanderlust travel, and telling stories. The second (PinkyBrand.com) addresses my experiences and opinions on business development, China, and the domain name industry, where I’ve spent the better part of the last 24 years at the registry and registrar levels. The third (RegistryOffice.blog) shares knowledge and updates on how RegistryOffice business intelligence joins data from multiple sources and uses machine learning together with AI to improve insight in order to find patterns and trends that would otherwise be hard for domain name registries to discover manually.

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