Section 12 of the template

Filtering, monitoring & assurance

The controls that make tool approval real, and the senior named owner accountable for them.

Home › Filtering, monitoring & assurance

The policy sets the rules; filtering and monitoring enforce them. This section names who owns those arrangements, and how assurance reaches your leadership.

What it is

Your filtering and monitoring arrangements as they apply to AI: blocking unapproved services, monitoring in line with your existing duties, and the senior named owner accountable for all of it. The annual review also considers access routes that bypass network controls altogether: personal devices with their own connectivity, including smart glasses and other wearables. It ties into the DfE filtering and monitoring standard and your wider cyber-security position, and it feeds the assurance reporting that trustees or governors receive.

Why it’s important

There’s a name for what happens when this slips: shadow AI. Staff, usually with the best of intentions, start using unapproved tools through personal accounts and devices because the approved route feels slow or unclear. The problems it brings are serious. Personal data ends up in tools nobody has assessed, with no DPIA, no contract and no way of getting it back or deleting it. Outputs feed into planning, reports and decisions with nobody accountable for checking them. And because the activity never touches your systems, the risks are invisible to the very monitoring that’s supposed to catch them.

If unapproved services aren’t actually blocked, the approved list becomes advisory and shadow AI gradually becomes the norm. Blocking and monitoring, in line with your existing duties, prevent that. The DfE standards expect a senior named owner, rather than a shared inbox, so that filtering and monitoring is somebody’s clear responsibility, reviewed and reported, rather than an assumption.

I found Mark Anderson’s workshop really informative. There were so many useful tips given and things to try.

Deputy Head of Post 16 · Marches Academy Trust

What you decide here

  • Your named filtering and monitoring lead.
  • How unapproved AI services are blocked, and how those blocks are reviewed.
  • How assurance on all of this reaches your board.

Guidance it speaks to

He isn’t just an advocate of tech for tech’s sake. It always has to fit the pedagogy, and that makes him a respected source of knowledge that schools can trust.

Al Kingsley MBE · Multi-academy trust chair and author

Working on your AI policy?

Support with writing or refining it, and with training your staff, is exactly the work I do. And if the template or the screening tool has helped in your school or trust, I’d love to hear about it.