Security · AI & data

Artificial intelligence must be useful.Your data must remain under your control.

We design AI systems by integrating security, privacy, and human control from the architectural stage. Each project is adapted to the sensitivity of your data, your tools, and your responsibilities.

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Flow architecture Active control
03

Processing takes place within an architecture defined by the project's sensitivity.

Security by design

Securing the system before it's set in motion.

01

Data minimisation

The system uses only the information necessary for the requested task.

02

Controlled access

Users, agents, and integrations are only granted the permissions they actually need.

03

Human validation

Sensitive decisions can remain subject to your team's approval before execution.

04

Traceability

Important actions can be logged to understand who did what, when, and why.

Your data, at every stage

A lifecycle designed before the first operation.

  1. 01

    Collect

    Defined purpose

    Know why each piece of information is requested before collecting it.

  2. 02

    Process

    Limited data

    Use only the data necessary for the intended action.

  3. 03

    Retain

    Controlled retention

    Define a retention period consistent with the project's use and obligations.

  4. 04

    Delete

    Planned deletion

    Plan from the architectural stage how data can be erased.

Protection tailored to each service

The same high standard, applied to every architecture.

01

AI Workforce

Separation of roles between agents, limited permissions, human validation for sensitive actions, and operational monitoring.

02

Custom AI Solutions

Architecture designed around your tools, data, and risk level, with tailored access for each user.

03

Websites and digital experiences

Forms limited to useful information, secure access management, protection of transmitted data, and carefully selected integrations.

Designed for European companies

Responsible AI starts with a clear architecture.

We integrate the principles of data protection, transparency, and risk management expected in a European business environment. Technical choices are defined with the client based on the project, the data processed, and applicable regulations.

  • Data protection by design
  • Considered choice of models and providers
  • Hosting and location determined by the project
  • Documentation of flows and responsibilities
  • Option for human supervision and validation
  • Reversibility and data deletion planned from the outset
Before automation

Before automating, we identify what needs to be protected.

During our first discussion, we review the data involved, the necessary access levels, the decisions delegated to the AI, and those that must remain under human control.

Let’s discuss your needs
The selected measures and their scope are documented for each project.