AI UNDER YOUR CONTROL

BIFROST

The sovereign AI gateway.
You decide which models process your data.

Generative AI creates significant productivity gains. But for regulated businesses, there is a fundamental problem.

Many enterprise AI platforms automatically route data between different foundation models. This may be a model from Microsoft, OpenAI, Anthropic, Mistral, a vendor-built model, or an open-source model. Often, the choice is made automatically based on performance, price, or availability.

For ordinary businesses, this may be convenient. For regulated businesses, it may be a compliance risk.

Who has actually risk-assessed the model? Where is the data processed? What legal basis is used? Is there a third-country transfer? And can you document which model processed which data, under which policy, and for what purpose?

This is precisely the problem Bifrost solves.

The problem

The AI platform often decides more than you think. When employees or systems use AI, data may be passed on to models and vendors that the organisation has not risk-assessed. This creates three key challenges

Lack of control

Data may be processed by models that have not been approved for the specific data category or use case.

Lack of documentation

It may be difficult afterwards to document which model processed which data, and on what legal basis.

Lack of visibility into transfer and vendor risk

If data is sent to models or subprocessors outside the EU, risks may arise that have not been addressed in DPIAs, data processing agreements, transfer impact assessments, or vendor management.

For regulated organisations, it is not enough that the AI solution works. It must also be explainable, documented, and defensible in front of management, audit, the DPO, the risk function, and supervisory authorities.

The solution

One Controlled gateway to all AI models

Bifrost is a model-agnostic AI gateway positioned between your organisation and the AI models you use.

This means that users and systems do not call models directly. All requests go through Bifrost, where your policies are automatically enforced.

Bifrost can control access to models from providers such as Microsoft, OpenAI, Anthropic, Mistral, and open-source models hosted in the EU.

You decide which models may be used for which data categories.

You decide which models may be used for which data categories.

Not the vendor.
Not the individual user.
Not the platform’s own optimisation logic.

How BI-FROST works

1. Data is classified

When a request is sent to AI, Bifrost assesses what type of data is involved.

This may include, for example:

General business data
Confidential information
Financial customer data
Employee data
Regulated or sensitive data
Data subject to specific sector rules

2. Your policy is applied

Bifrost checks the request against your own rules.

For example, you can define that:

Certain data may only be processed by EU-hosted models
Sensitive data may only be processed by customer-controlled models
Personal data may only be processed after pseudonymisation
Non-critical tasks may use selected frontier models
Specific models may only be used for specific purposes
Fallback to alternative models must be blocked if the policy does not allow it

3. Data is protected before the model call

Bifrost can inspect, redact, or pseudonymise content before it is passed on to an external model.

This means that only the data permitted by your policy leaves your control boundary.
Nothing more.

4. The right model is selected

Bifrost routes the request to the model approved for the specific task, data category, and risk profile.

If the data is regulated or sensitive, it can be restricted to EU-hosted or customer-controlled models.

If the task is non-critical, selected frontier models can be used where they create the most value.

5. Everything is documented

Each request is logged with the necessary documentation.

Which user or application sent the request?
Which data category was processed?
Which policy was applied?
Which model processed the data?
What legal and regulatory basis was applied?
Which controls were performed?
What output was returned?

6. Audit trail

Creates an audit trail that can be used for internal control, management reporting, DPO documentation, audit, and supervisory dialogue.

Designed for regulated European organisations

Bifrost is built for organisations where AI must be used in practice without losing control over data, models, documentation, and regulatory responsibility.

Bifrost runs on sovereign European infrastructure through our partnerships with T-Systems and Gefion. Your gateway, your policies and your logs remain under EU jurisdiction, independent of the legal instability surrounding transatlantic data transfers. For financial institutions and other regulated industries, this is not a preference. It is the difference between an AI strategy you can defend in front of your supervisor and one you cannot.

Why it matters

Bifrost does not replace legal assessments, DPIAs, data processing agreements, or vendor risk assessments.

But Bifrost makes it possible to operationalise them.

AI can no longer be treated as an experiment in the corner of the organisation.

In financial institutions, public sector organisations, and other regulated environments, AI must be governed as part of the overall governance, risk, and compliance framework.

Bifrost supports documentation and control in relation to, among other things:

GDPR
EU AI Act
NIS2 / DORA
Information security
Vendor Management
Model Risk Management
LInternal control and audit trail
Management reporting

For the CIO, DPO, and CRO

Explore the range of services we offer to elevate your business.

For the CIO

Bifrost provides one controlled AI access point across models and vendors.

You can take advantage of new models without having to change the entire architecture. When the model landscape changes, you change the policy, not the infrastructure.

For the DPO

Bifrost creates documentation of which personal data is processed, where it is sent, which controls are applied, and what basis the processing relies on.

This strengthens the work with GDPR, DPIAs, records of processing activities, data minimisation, pseudonymisation, and data processor management.

For the CRO

Bifrost makes AI risks visible and manageable.

You gain visibility into model usage, data categories, vendor dependencies, transfer risks, and control weaknesses. This makes it possible to report AI exposure to management, the risk committee, and the board.

Take Action Now

Book a walkthrough

We offer a one-hour walkthrough of Bifrost in the context of your own use cases. You leave with a clear picture of your current model-routing exposure and how to close it. Contact us to schedule.

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