If you've blocked AI sites and think that's handled, it probably isn't. Here's an honest look at how pupils get around filters, what actually helps, and why the answer isn't purely technical.
How pupils get around filters
Not to help anyone do it, but because you can't defend against what you don't know is happening:
- Mobile data — the simplest and most common; your filter never sees it
- VPN apps, widely advertised to teenagers as a way around school blocks
- AI built into other services you haven't blocked — search engines, browsers, productivity tools
- Mirror sites and lesser-known tools that appear faster than blocklists update
- Personal devices on or off your network
The honest position: you cannot technically prevent a determined pupil from accessing AI. Filtering raises the barrier for casual use on school networks — which is worth doing and part of your KCSiE duties — but any strategy that relies on filtering alone will fail. Treat it as one layer, not the answer.
What network managers can realistically do
- Category-based filtering rather than site-by-site blocklists, which never keep up
- Block VPN and proxy categories, which closes a common route
- Manage school devices properly via MDM, including off-site
- Monitor rather than only block — knowing what's being attempted is more useful than a silent wall
- Approve good options — pupils reach for workarounds partly because nothing sanctioned is available
- Review regularly, since new tools appear constantly
Your filtering and monitoring duties under KCSiE apply here directly — see updating your KCSiE policy for AI.
Why blocking everything backfires
Three reasons worth weighing. It pushes use onto personal devices where you have no visibility at all. It denies pupils the supervised experience they need to learn to use AI well. And it signals that AI is contraband rather than a tool with rules — which is not the message that produces sensible adults.
The approach that works better
Combine sensible filtering with supervised, approved access and explicit teaching. A pupil who has used AI in a lesson, discussed its limitations and knows the school's expectations is far less likely to be sneaking around a filter than one for whom it's forbidden fruit. See safe AI use for pupils and how AI can be used in schools.
Tell parents what you do and don't control
Parents often assume school filtering covers their child's phone. Being clear that it doesn't — and that home rules matter — is a useful, honest message. See what parents should know.
Want a realistic AI position for your network and curriculum?
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Get one-to-one AI support for your schoolFrequently asked questions
Can schools block pupils from using AI?
Not completely. Pupils reach AI through mobile data, VPN apps, AI built into unblocked services, new mirror sites, and personal devices. Filtering raises the barrier for casual use on school networks and is part of your KCSiE duties, but any strategy relying on filtering alone will fail.
What can network managers do about AI access?
Use category-based filtering rather than site-by-site blocklists, block VPN and proxy categories, manage school devices via MDM including off-site, monitor attempts rather than only blocking, approve good sanctioned options, and review regularly as new tools appear.
Why is blocking all AI a bad idea?
It pushes use onto personal devices where you have no visibility, denies pupils the supervised experience they need to learn good habits, and frames AI as contraband rather than a tool with rules — which isn't the message that produces sensible adults.
What works better than blocking AI?
Combining sensible filtering with supervised approved access and explicit teaching. A pupil who has used AI in lessons, discussed its limitations and knows the expectations is far less likely to be circumventing filters than one for whom it's forbidden.