Secure and private AI

    Secure AI is the deepest of the four offerings. It fits companies that handle sensitive data, personal information or strict traceability requirements. We run security reviews, data classification and AI policy — and build, when requirements demand it, private environments where data never leaves your control. That way value is created without compromising control and confidentiality.

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    Illustration where documents, servers and an AI core sit inside a clear, locked boundary while external clouds stay outside
    What we hear

    When this is the right step

    Four sentences we hear from companies with sensitive data — and the short answer to each.

    • 01

      Sensitive data — cloud is a no

      Own environment, data stays
    • 02

      No idea where data ends up

      Classification → a clear map
    • 03

      AI live, but without control

      Permissions + logging
    • 04

      We do not want to block it all

      Boundaries instead of bans
    Where does your data go?

    Same question — three different paths

    Pick a scenario and see where the boundary of your control lands.

    Your controlOutside
    1. Employee
    2. Your sign-in
    3. Agreement in the EU
    4. Logged and controlled
    • Internal working material
    • Agreement + correct settings
    • Licence ≠ finished configuration
    Data classification

    Where may this information be handled?

    Place each type in a level. This is exactly the exercise we run with you.

    InformationPublicContractedOwn
    • Public marketing copy
    • Internal meeting notes
    • Customer records with personal data
    • Health or sensitive personal data
    • Source code and trade secrets
    0/5as we would place themPick a level per row.
    What is included
    • Security review
    • Classification and policy
    • Tool assessment
    • Private AI environment
    • Permissions and logging
    The control chain

    Send a sensitive case through the chain

    An employee pastes a customer contract into an AI tool. Six links decide whether it is handled or slips through.

    Case in the chain0/6
    Risk without control
    With FigFlows
    Nothing yet — start the case.
    Nothing stops it yet.
    Straight answer

    What we promise — and never promise

    Private AI moves control closer to you. It does not remove the work.

    We promise
    • The model can run at your site
    • Data never leaves your environment
    • Logging and traceability
    • Permissions mirroring your systems
    We never promise
    • "100% secure" — no such thing
    • That local operation solves GDPR by itself
    • Security without follow-up over time
    • Technology that replaces your decisions
    Before and after

    What changes when the boundaries are in place

    Press FigFlows and watch the shift.

    Without helpWith FigFlows
    • Customer data in free tools
      An approved environment that is safe to use
    • Nobody knows where data ends up
      You know where data is stored and processed
    • AI blocked "just to be safe"
      AI used broadly, within clear boundaries
    Press FigFlowsSee the difference we make.

    Questions about security and data

    When your business handles sensitive data, personal information or data that must not leave your environment.

    • Then the rules and environment need to be in place before you scale usage.
    • For most other companies, secure AI is a next or deeper step, not the first one.

    It depends on the data, the service and the legal basis.

    • The starting point is data classification: which information may be handled in a public cloud service, which requires a contracted enterprise environment, and which should never leave your own infrastructure.
    • We produce that classification and match it to technical solutions.

    Private AI is an AI environment where models run in infrastructure you control, for example your own data centre or a dedicated cloud, so prompts and documents are never sent to an external model provider.

    • It gives control over data, logging and access, but still requires proper data protection work.

    Sometimes.

    • With many users and high volume, an own environment can cost less per user, while licences are often cheaper at low or uneven usage.
    • We calculate on your actual scenario, including operations and maintenance, before recommending anything.

    Where to go next

    Employees in a training session in front of a screen with an AI assistant
    01 / 03

    AI training and adoption

    When the rules exist but nobody follows them day to day.

    Open
    Illustration of an AI agent connecting systems and tasks
    02 / 03

    AI solutions and automation

    When the solution has to be built inside your security requirements.

    Open
    Illustration of an assessment where processes are analysed
    03 / 03

    AI assessment

    When you want to know where you stand before going deeper.

    Open

    Do you handle sensitive data?

    Then secure AI is the deepest step — and the one that cannot wait. We start with a review of how AI is used in your organisation today, which information moves and which requirements apply. From there you know whether you need a policy, a new environment, or both.

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