Whitepaper
When You Use a Frontier Model, Who Sees Your data?
This briefing clarifies data privacy for financial institutions using frontier AI models. It dissects cloud AI platform guarantees from Amazon, Microsoft, and Google, revealing where protection ends and true application-level risks for banks begin. Understand critical multi-tenancy and deployment questions to ask any AI vendor.
Earlier this month, a Palantir CEO's on-air outburst about the AI industry went viral. Strip away the theatre, though, and it left a question every compliance leader should be asking — precisely: when your institution routes data through a frontier model, where does it actually go, who can see it, and could it be used to train a model your competitors also rent? This briefing answers that question without the hype. It maps exactly what the enterprise cloud AI platforms protect, where those guarantees quietly stop, and the work that still falls to you — because the model layer is largely a solved problem, and the real risk to a bank's data lives one layer up, in how the application around the model is built. What's inside:
- What Amazon Bedrock actually protects — and the two honest caveats most vendors won't raise
- How Microsoft Azure and Google Cloud compare on the same commitments
- Why "the model provider can't see your data" is only half the answer for a regulated institution
- The multi-tenancy and own-cloud deployment questions worth putting to any AI vendor — RiskPulse included
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