Data governance, sovereignty, privacy and security
Data that is trusted, traceable, protected and kept where the law requires
Nobody can say where the data came from or who may see it
The same customer appears in different forms in different systems. Reports cannot be traced to their source, and sensitive records are copied into test systems, logs and spreadsheets.
Regulators now ask where personal data is stored and processed, and in which country. AI raises the stakes, because a model can repeat whatever it is allowed to read.
What you get
Data you can trust
One agreed version of your master data, with its quality measured.
Lineage you can follow
Lineage from every report and model back to its source.
Residency enforced
Residency rules enforced automatically, not by policy documents alone.
Sensitive data protected
Sensitive data encrypted, tokenised or masked wherever the real values are not needed.
What we deliver
Master data, data contracts and automated lineage
Master data management for customers, products and suppliers, data contracts between the teams that produce and use data, and lineage captured automatically.
Data quality, cleansing and observability
Rules that measure completeness, accuracy and freshness, cleansing of what fails them, and alerts when a source changes or breaks.
Cross-border residency enforcement
A map of where each kind of data may be stored and processed, enforced in pipelines, storage and model hosting.
Sensitive data discovery and classification
Where personal, payment and confidential data is stored, copied and sent, with a classification scheme and the protection each class requires.
Encryption and key management
Data encrypted at rest and in transit, with keys generated, rotated and revoked in a key store or hardware security module you control.
PII tokenisation, masking and synthetic test data
Sensitive values replaced by tokens or masked copies where systems do not need them, and synthetic test data that keeps real formats without real customers.
Access rules before AI inference
Row-level and role-level access rules applied before any language model reads the data, so an answer never includes what the asker may not see.
How it works
We design client platforms to pass GDPR, EU AI Act, DORA and MENA PDPL inspections inside the client’s own environment.
Find the data
We trace where critical and sensitive data is created, stored, copied and sent, including backups, logs and suppliers.
Agree the rules
We agree owners, definitions, quality thresholds, classes and residency rules with your business, risk and legal teams.
Design the controls
We decide where to encrypt, tokenise or mask, how lineage and quality are captured, and who may see the real values.
Implement in stages
We apply the controls one domain or system at a time, testing performance and the applications that depend on it.
Verify and hand over
We check the controls with tests, scans and access reviews, then hand over the procedures or run them with you.
Technologies and standards
Access control is enforced at row and role level before any language model inference. Data security covers encryption, PII tokenisation, data masking and synthetic test data, and residency is enforced across borders.
- Methods and practices
- Master data management (MDM)
- Data contracts and lineage
- PII tokenisation and masking
- Synthetic test data
How to start
Where data residency or encryption rules are still unclear, the Blueprint Studio maps them first. Its security, residency and regulatory matrix becomes the plan for this work.
What happens next
Readiness review
In a free 48-hour readiness review, a Principal Architect checks your project against the 6-point Definition of Ready and recommends the track that fits.
Blueprint Studio
Structured workshops turn your goal into a ready-to-build blueprint. Tier 1 takes 1–2 weeks, Tier 2 3–4 weeks and Tier 3 4–6 weeks, each at a fixed fee quoted in the proposal.
Ready-to-Build Blueprint Pack
You receive a Ready-to-Build Blueprint Pack of 6 deliverables: the product and functional specification, the architecture and technology stack blueprint, the integration and data contract specification, an interactive UI prototype, the security and regulatory matrix, and a binding fixed-price build proposal. You own 100% of the blueprint once the fee is paid, written in vendor-agnostic standards you can use with XSIS or with another provider.
Fee credited to the build
100% of the Blueprint fee is credited toward the build when you choose XSIS to build it. The credit is valid for 60 calendar days after the blueprint is delivered, for a build contract of at least 8× the Blueprint fee.
Questions and answers
Where do we start if we do not know where our sensitive data is?
With discovery. We trace the systems, data stores, backups and file shares that hold personal, payment or confidential data, and the flows to your suppliers. The inventory shows the biggest risks first.
Why do we need master data management?
Because every system keeps its own copy of customers, products and suppliers, and the copies drift apart. Master data management agrees one version, keeps it current and feeds it back, so reports and models stop disagreeing.
Who holds the encryption keys?
You do. Keys stay in a key store or hardware security module that you control. Our engineers use them only through the roles and procedures you approve, and no single person can export or delete keys alone.
What is the difference between encryption, tokenisation and masking?
Encryption makes data unreadable without a key. Tokenisation replaces a value, such as a card number, with a token that means nothing outside a protected vault. Masking hides part or all of a value, often to create realistic test data.
How do we get realistic test data without copying production?
We mask or tokenise copies of production data, or generate synthetic data that follows the same rules. Test data keeps the formats and edge cases your tests need without exposing real customers.
How do you stop an AI assistant leaking data?
Retrieval applies your row-level and role-level access rules before any text reaches the model. The model only sees what the person asking may read, and sensitive fields can be masked first.
Can you help us meet rules such as the GDPR and the PDPL?
Yes. We map where personal data is held and processed, protect it in proportion to the risk and document the decisions. We do not give legal advice: your legal team decides how the rules apply, and we work with them.
What happens after the project?
Quality monitoring, key rotation, access reviews and the classification of new data must continue. We hand these procedures to your team with runbooks and training, or run them with you under a support agreement.
Start with a conversation, not a contract.
Tell us what you need to build, connect or secure. An architect goes through it with you, then recommends where to start.
What happens next
Agreeing a time
Our team emails you to agree a time for the session.
Pre-consulting session
A free 30-minute online pre-consulting session: we go through your goals, systems and constraints.
Readiness review
In a free 48-hour readiness review, a Principal Architect checks your project against the 6-point Definition of Ready and recommends the track that fits.
Choosing the track
Scope-ready projects receive a binding proposal within 3–5 business days. Concept-stage projects start in the Blueprint Studio. A live system that is failing, undocumented or needs integration starts with a diagnostic of 1–2 weeks. The Blueprint Studio and the diagnostic each have a fixed fee, quoted in the proposal.