THE ENDPOINT AI GUIDE
Endpoint AI guide: lessons on choosing and rolling out AI controls
Short answer
By The Device Desk · Endpoint AI Finder · Published 2026-10-11
Desk research from public vendor pages read on 27 September and 11 October 2026. Profiles follow our published method; we did not run the products.
Vendor pages read September and October 2026 · updated 2026-10-13
Know your situation
- 01
Browser AI, desktop agents and coding agents: three different risks
The first question in the finder is which AI tools people use. The answer changes everything after it.
3 min read
Read the guide - 02
AI on devices you do not manage: what you can still control
None of the products we cover describes unmanaged-device coverage. That is not a gap in one vendor; it is how device controls work.
3 min read
Read the guide - 03
AI controls for cloud workspaces and virtual desktops
When the work runs on a server, the endpoint that matters is the server, not the laptop.
3 min read
Read the guide - 04
Matching AI controls to the data at stake
The same coding agent is a small risk on a hobby project and a large one next to production credentials.
3 min read
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Choose your stance
- 05
Coaching versus blocking: how should AI controls respond?
The finder's sixth question asks what should happen when an AI action looks risky. It is a question about people as much as technology.
2 min read
Read the guide - 06
Fitting AI controls next to the EDR, SSE and DLP you already run
The finder's fifth question asks what you already run. The answer often decides how a new control reaches your devices.
3 min read
Read the guide - 07
Writing a first AI use policy before you buy anything
Every result of the finder needs a policy. For some companies it is the whole first step.
2 min read
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Roll it out
- 08
Rolling out AI controls to developers without stopping their work
Developers are the heaviest users of AI agents and the quickest to route around a control that gets in their way.
2 min read
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