The bank will use Google Cloud and Gemini for internal AI tools while retaining stricter controls over critical data.
BNP Paribas said it will keep some sensitive customer data and critical operations off public cloud infrastructure even after signing a five-year cloud and AI partnership with Google.
The agreement gives BNP Paribas access to Google public cloud infrastructure and Gemini models for internal AI agents used in corporate credit memos, sales, trading, research and structuring, according to the bank.
Marc Camus, BNP Paribas group chief information officer, said the Google deal does not replace the bank's on-premise infrastructure, and cited medical information held by the bank's insurance operations as an example of data BNP will keep away from public-cloud systems.
Google said BNP Paribas will retain ownership of its data and that the data will not be used to train, tune or refine Google's models, while BNP said the AI agents will be authenticated, restricted to necessary resources and monitored.
BNP Paribas is signing up for Google Cloud and Gemini, but it is not handing over its most sensitive banking data. The French lender said Thursday that some customer information and critical operations will stay off public cloud infrastructure despite a five-year partnership with Google.
BNP Paribas said it is adopting Google's cloud and AI tools selectively, not as a full migration, because some highly confidential data will remain outside public-cloud systems. The distinction matters. Banks are using foundation models for internal productivity work, but BNP's approach is a hybrid model rather than a full public-cloud move. The five-year agreement gives BNP access to Google public-cloud infrastructure and Gemini models as the bank builds AI agents for internal tasks including corporate credit memos, sales, trading, research and structuring.
Marc Camus, BNP Paribas group chief information officer, said on a call with reporters that signing with Google does not mean the bank will eliminate its on-premise systems. He pointed to medical information held by the bank's insurance operations as an example of highly confidential data for which BNP avoids public-cloud solutions.
BNP is drawing lines around some regulated and highly confidential data while adopting public-cloud and AI tools for other uses.Google said BNP will retain ownership of its data and that the information will not be used to train, tune or refine Google's models. BNP said Google's AI agents will be authenticated, limited to the resources needed for their tasks, and monitored. BNP also said it will keep using open-source models and maintain its partnership with French AI company Mistral, with different providers used for different applications.
For Google, that means a financial-services customer, but not exclusivity. For BNP, it means it will continue using multiple providers.
The bank said it sees room to use Google technology for less sensitive work such as invoice processing and data management.
The background
BNP's posture reflects a broader industry shift. Banks have spent years moving parts of their technology stack to public cloud while resisting the idea that everything should move there. The generative AI boom has accelerated that tension rather than resolving it. That's why BNP's hybrid language matters more than the partnership headline. The bank is embracing Google's infrastructure and Gemini for practical internal use cases, while preserving on-premise infrastructure and keeping open-source and Mistral in the mix.
There is also a clear read-through for cloud and AI vendors chasing financial-services budgets. Banks are willing to sign multi-year agreements, but those deals do not automatically translate into full-stack migration. Google's promise not to use BNP's data to train, tune or refine models addresses one major concern, but banks still answer to internal control functions and external regulators. Another subtle point: BNP is using AI agents for internal work in areas like research, sales and structuring, not customer-facing autonomous decisions. The practical enterprise market today is still dominated by summarization, drafting, retrieval and workflow automation.
What's next
The next test is whether BNP expands beyond back-office and knowledge-work use cases during the five-year term, or whether the boundary around sensitive data holds. Just as important, neither BNP nor Google disclosed the value of the agreement.
Frequently asked questions
Why is BNP Paribas keeping sensitive data off the public cloud?
BNP Paribas is drawing a line between using cloud-based AI tools and protecting highly sensitive banking data and core operations. For a large regulated bank, that approach helps manage security, compliance, and operational risk while still adopting new technology.
What does the Google partnership give BNP Paribas access to?
The agreement gives BNP Paribas access to Google Cloud infrastructure and Gemini models for internal AI use cases. According to the report, those tools will support areas such as corporate credit memos, sales, trading, research, and structuring.
Is BNP Paribas moving all of its banking data to Google Cloud?
No, the bank said some sensitive customer data and critical operations will remain off public cloud infrastructure. That means the partnership is not a full migration of all banking workloads to Google Cloud.
How will BNP Paribas use Gemini AI inside the bank?
BNP Paribas plans to use Gemini models for internal AI agents rather than public-facing consumer tools. The focus is on employee workflows, including document preparation, analysis, and support for business teams in capital markets and lending.
What does this mean for cloud adoption in the banking industry?
It shows that major banks are still favoring hybrid or selective cloud strategies instead of moving everything to a public cloud. In practice, many financial institutions want AI and computing scale without giving up tight control over regulated data and mission-critical systems.
Why is this deal important for Google Cloud in financial services?
Winning a partnership with a global bank like BNP Paribas strengthens Google Cloud's position in a tightly regulated industry. It also highlights demand for enterprise AI tools in banking, even when institutions keep their most sensitive workloads outside the public cloud.
