G.A.I.N. / BLOG
From the G.A.I.N. team
Deployment checks, engineering notes and examples for teams working with AI.
START WITH A TEST
How to check whether an AI blocking rule actually works
A warning on screen tells you very little about the request that left the browser. Here is what to check in a small deployment test.
Read the articleMore from the team
AI governance, client data and lessons from building G.A.I.N.
The hidden iframe that confused our Gemini diagnostics
A test of G.A.I.N. 0.5.49 explains why a connected indicator and a successful protection test need separate evidence.
Read the note 03Working with client dataBefore your team pastes a client document into AI
Removing a name may leave the client easy to identify. A worked example for teams drafting summaries and replies.
Read the note 04Reading the dashboardWhat an AI activity report should help you investigate
A weekly total cannot explain a blocked submission or a device that has gone quiet. Start with these two cases.
Read the note 05Setting up policiesHow to choose between Block, Warn, Redact and Log
The right action depends on what you want to happen when a rule matches. Four examples to discuss with your team.
Read the noteMAKE YOUR AI POLICY REAL
Better visibility.
More confident AI use.
Start with your team’s tools. See where G.A.I.N. can make a difference.
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