Implementing Web Filtering in Schools: Interview with Chris Garstin
[00:03:29] The ultimate goal of web filtering in the education environment is to protect pupils from accessing harmful content online. [00:06:38] Blocking a pupil from going somewhere is one thing. But providing the tools for educators to do that in an efficient way without disrupting the learning environment is where some innovation comes in. [00:08:58] Not to mention probably the last thing I would like to also point out is the categorization of the content. So, you know, when you’re using the Netsweeper filtering platform, you’re blocking things, you’re choosing who should be blocked, you’re writing reports. You’re generating reports to see what’s going on, on your network. But there’s a lot of interesting features in innovation around that. But in addition to that, there’s what we call the CNS network, which is a category name service network. And that’s kind of the unsung hero of Netsweeper in the background. That’s 24/7 going out on the internet and categorizing content based on the browsing habits of our users. We don’t just scrape the internet randomly for content. We see the websites Netsweeper users globally are going to and that way we spend our resources categorizing those sites specifically. So, our system will download those sites, run our AI algorithms on there to try to understand what the content is, and then be able to assign a category to a URL. Doing that all within a matter of seconds, 24/7 for every single Netsweeper deployment anywhere in the globe. [00:12:17] nMonitor, it’s a product, but it’s composed of several different pieces of technology we’ve developed. It looks at not just the URL, but the actual nature of the content that someone is looking at. So instead of sitting in the network or with our endpoint solutions, we’re looking at the stream of data that’s flowing from those websites to someone’s phone or someone’s laptop.