Confidential AI for finance teams.

Use AI on diligence packs, investment memos, policies, and client correspondence without giving a public model operator readable access to the underlying data.

Finance workspace illustration for confidential diligence and reporting.

Finance

Where normal AI breaks.

Most finance teams do not lack AI use cases. They lack a way to prove confidentiality, sovereignty, and operational control to risk, compliance, and clients.

“We don’t use AI at all due to confidentiality concerns.”

Family office, Luxembourg

DORA requires demonstrable third-party risk management. Tresor’s cryptographic receipts are auditable evidence, not policy statements, that data was processed inside attested hardware.

Client confidentiality

Mandates, portfolio data, term sheets, and internal notes can stay in a sealed environment instead of leaking into unmanaged AI usage.

Regulator-ready auditability

Security and compliance teams can review how work was processed without asking front-office users to stop using the tools they need.

Cross-functional review

Analysts, compliance, leadership, and client teams can work from the same protected context instead of emailing extracts back and forth.

What teams can ship with Tresor.

Risk analysis, due diligence summaries, regulatory drafting, and internal memos move faster when the supporting data stays inside sealed execution rather than a public AI operator.

Summarize diligence material

Turn long packs, filings, and memos into reviewable briefs without copying the underlying data into a public tool.

Search policies and portfolio documents

Retrieve relevant clauses, exposures, and historical context across internal repositories in one place.

Draft internal and client updates

Prepare investment notes, board updates, and client-facing explanations from the same controlled workspace.

Controls that hold up under review.

The control surface has to satisfy analysts, compliance, and procurement at the same time, without forcing the business back to manual work.

Zero-access processing

Client records, internal analysis, and regulatory material stays readable only in the browser and inside attested compute, not in an operator-accessible app tier.

EU-hosted by design

Routing, storage, and execution stay aligned with European sovereignty and procurement expectations instead of backhauling work into a general public AI stack.

Signed proof on every run

Each response can be tied back to cryptographic receipts and published verification material, so security and compliance teams can check the claim themselves.

Start with one workflow.

Start with one review-heavy workflow, keep the documents in a shared project, and expand only after the operating model is verifiable end to end.

01

Pick the workflow that already consumes analyst hours

Due diligence, policy review, internal research, and portfolio reporting are typical starting points.

02

Decide how the team will review outputs

Keep approval in the same workspace so usage does not escape into unmanaged side channels.

03

Expand from one desk to the next

Once the controls are accepted, the same setup can support adjacent teams without changing the underlying confidentiality posture.

Questions from finance teams.

Understand the technical details.

Zero-Access AI Conversations:
How Tresor Protects Your Privacy

Executive Summary

Tresor is built on a simple promise: your conversations belong to you, not us. Every message you type is protected by end-to-end encryption and processed only inside secure computing environments that even Tresor cannot inspect. Teams can now collaborate inside shared workspaces without ever handing Tresor access to their plaintext. This whitepaper explains the principles and safeguards behind Tresor’s zero-access design, showing how we deliver practical confidentiality without trade-offs in usability.

Download White Paper

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