Granular user-based filtering
User-based filtering gives schools greater flexibility and control over Internet filtering. This improved level of customisation ensures users can be grouped for filtering without compromise. Filter by individual, year group, after-school club or by tailoring your own user groups. You can also choose to allocate specific times at which websites can be accessed.
Easy to use
RM SafetyNet provides a rich filtering system that is easy to use regardless of experience. The administrator portal provides a modern, clean and simple workspace. From its streamlined toolbar users can quickly access the commands most frequently used by our community of schools. It is also fully optimised for touch screen devices to ensure a seamless experience.
No local equipment
Being cloud based RM SafetyNet removes the requirement of expensive onsite equipment and dedicated training resource to operate. It is setup to ensure failsafe continuation to save further costs of local backup for website filtering.
Real time protection
RM SafetyNet ensures real time filtering. As soon as the local filter policy has been updated, the changes made are immediately in affect across RM SafetyNet.
SSL interception for Google
RM SafetyNet’s SSL ﬁltering intercepts and inspects all Google search results even since the move to SSL encryption in June 2015. This feature is not available in most other cloud based ﬁltering solutions. Without this interception there would be the risk of inappropriate search results, including images that should be filtered, being displayed to your school community.
Monitor and identify bandwidth usage
RM SafetyNet now offers bandwidth reporting. These easily viewable reports have been designed to give you a good indication of how much bandwidth you’re using. If you’re regularly reaching your limit then it could be a good time to speak to our Broadband specialists about your options.
Active Adapt Content Filter
The Active Adapt Content Filter instantly scans the content of every page and employs risk calculations to identify ‘positive’ and ‘negative’ features. Content is then identified before a ‘permit’ or ‘deny’ decision is made. This active features adapts immediately to changes in web content for ultimate protection.