In the past, content filtering tools were clunky. Amy McLaughlin, cybersecurity project director for CoSN, remembers what that was like during her tenure as director of IT operations at the Oregon Department of Education.
“The original content filtering tools were based on large databases of addresses that had been marked as ‘bad’ and needed to be blocked,” she says. “It was a very manually driven process.”
The COVID-19 pandemic and the rise of one-to-one devices in schools led K–12 districts to demand a much more flexible solution.
Today’s K–12-native Domain Name System (DNS) filtering platforms from vendors such as GoGuardian, Lightspeed and Securly are much better suited to today’s learning environment, in which devices are managed both onsite and offsite.
“If students are using a school device off campus, a cloud-hosted solution allows that device to be efficient and still filter wherever it needs to,” McLaughlin says. “If you have an on-prem, older-style solution, you’re basically having to engineer student devices to go back to the school network for filtering before it goes out to the internet, creating a latency bottleneck.”
In addition to artificial intelligence-aided filtering tools, these new solutions often come bundled with solutions to help teachers easily monitor and guide computer use during class time, and additional components that monitor student well-being, using AI to flag self-harm searches, detect crisis-related content and alert counselors before situations escalate.
As districts walk the fine line between filtering content and sharing knowledge, many appreciate the versatility that continues to advance the content filtering space.
