Master's in AI
    Security architecture

    AI on your infrastructure, under your control

    Every system we build runs on customer-owned infrastructure inside the EU. Encryption, access control, audit logging and incident response are designed in from day one — not added after the fact.

    Security pillars

    Four principles applied to every engagement

    Not a checklist we fill in at the end. Security decisions are made during architecture design and reflected in every technical choice.

    Encryption

    AES-256 at rest. TLS 1.2+ in transit. Customer-managed keys on request. No shared infrastructure. Your data is never stored alongside another client's data.

    Access control

    Role-based access with least-privilege by default. Multi-factor authentication required for all administrative access. Access reviews on every engagement milestone.

    EU data residency

    All processing and storage happens inside the EU. We never route your data through services outside the EU without explicit Standard Contractual Clauses in place.

    Incident response

    Breach detection and GDPR Art. 33 notification within 72 hours. Written incident response procedure available on request. Responsible disclosure policy for third-party researchers.

    Customer ownership

    What 'customer-owned infrastructure' means in practice

    Most AI vendors run your data through their infrastructure. That means their security posture, their sub-processors, their retention policies — and your data somewhere you can't directly audit.

    We do the opposite. We build in your environment. Your cloud account, your keys, your logs. We are a contractor who builds something in your house — not a landlord who leases you space in ours.

    What you retain

    Your data, always

    • Your cloud account, not ours
    • Your API keys, rotated on your schedule
    • Your audit logs, exportable at any time
    • Your data — we never retain it after contract end
    • No vendor lock-in to our infrastructure
    • Full data portability guaranteed in writing

    Vulnerability and patch management

    Third-party dependency scanning on every build. Patch cadence aligned to CVE severity. Critical vulnerabilities patched within 24 hours of disclosure. We monitor our dependency graph continuously.

    Responsible disclosure policy

    We welcome responsible disclosure from security researchers. Reports acknowledged within 2 business days. Critical issues triaged within 24 hours. Full disclosure policy available on request.

    Security documentation

    Request architecture documentation before you engage

    We provide architecture diagrams, sub-processor lists and our DPA to qualified leads before any contract is signed. Security reviews are a normal part of our pre-sales process.

    Security questions before you engage?

    We walk through our architecture, sub-processors and data handling before any contract is signed. That's how it should be.

    Free intro call · Your infrastructure · GDPR compliant

    Security pattern

    Secure AI starts with access, infrastructure and logs.

    The system should know who is asking, what they may access and where every action is recorded.

    Secure request flow

    Access is checked before AI touches private systems.

    User request
    Person, role and need
    Access checked
    Permissions and data scope
    Activity logged
    Private, traceable work
    Private by design
    AI only reaches data the user is allowed to use.
    Owned evidence
    Logs stay available for IT, legal and leadership.
    FAQ

    Questions before you build

    Short answers to the things most teams ask before turning a workflow into an AI-powered system.