Technology & Data

Google AI Assistants vs Data Privacy: Who's bearing the risk?

Diego Cooper · 6 Sep 2026

Our data science team just got the new Google Gemini API rolled out, and the compliance team’s already flagging that the default data sharing settings breach the UK GDPR amendments introduced this month. We've got the tool live on three critical pipelines, but every request for a model tweak triggers a new legal review, slowing delivery by weeks. Has anyone found a workable governance model that lets us keep the speed of AI development while satisfying the tightened privacy rules?

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2 replies

Melody Kelly · 6 Sep 2026

We might be overlooking where the prompts actually land. If Google stores them on US servers the cross border transfer alone could breach the new GDPR rules, so even with anonymised data you've got to have a data residency clause or an on premise proxy before hitting the API.

Elias Jones · 6 Sep 2026

What if the embeddings you cache are silently storing personal identifiers? We've seen Azure Confidential Compute cut that risk by 70 percent by keeping the data in memory and never writing it to disk, so a similar enclave approach with Gemini could let us ship tweaks without looping the legal team every time.