Data Protection by Design
Data protection built into the software, not bolted on before launch
GDPR names principles, not features. We translate them into the standard controls every compliant system needs, classification, access control, encryption, audit, subject rights, and retention, designed in from the first sprint and enforced by tests. The result is data protection an auditor, an insurer, or a regulator can verify.
Why compliance so often fails in software
Data protection fails less on policy than on engineering. These are the gaps we see most, and the ones designing in from the start prevents.
Compliance bolted on at the end
Data protection added before launch is weaker and full of gaps. Access control hidden in the interface, deletion that was never tested, and a classification spreadsheet that stopped matching the code a year ago.
Sensitive data nobody has mapped
Most systems cannot answer a simple question: which columns hold personal, special-category, or children's data. Without that map, minimisation, masking, retention, and breach response are all guesswork.
Subject rights handled by hand
Access requests and erasure run as ad-hoc database queries when someone is free. Statutory deadlines turn routine requests into fire drills, and manual erasure quietly leaves personal data behind.
Growth across borders
A platform built for one country meets data residency, breach routing, and local consent rules the moment it crosses a border, and forks into per-country variants that drift apart.
The standard controls, designed in
A defined set of features that turn the GDPR principles into working software, grounded in real production experience building systems that hold personal, special-category, and children's data.
Machine-readable data classification
Deny-by-default access control
Encryption and secrets management
Immutable audit and accountability
Subject rights, retention and erasure
Multi-jurisdiction by design
Classify first, then control, then prove
Every control depends on knowing where personal data is. We sequence the work so classification comes first and compliance is demonstrable at the end.
Map the data
Tier and overlays on every sensitive field. The map the other controls read.
Design the controls
Access, masking, encryption, audit, consent, rights, and retention as build constraints.
Build and test
Coverage tests fail the build when protection is missed. Definition of done, not a review.
Demonstrate
Classification register, audit trail, and rights tooling that answer a regulator from data.
From data map to demonstrable compliance
A sequence that puts classification first and makes protection a definition-of-done constraint, accelerated by AI-augmented delivery.
Assess and classify
We map the personal data the system holds and assign a sensitivity tier and handling overlays to every field. You get a data classification inventory and a prioritised view of where the highest-risk data lives, before any controls are designed. This is the foundation everything else stands on.
Design the controls
We design the control set against the GDPR principles as build constraints: access model, masking, encryption and secrets, audit, consent and suppression, subject rights, and retention. Where the platform crosses borders, we design residency topology and jurisdiction handling in from the start.
Build and enforce
We build the controls into the architecture and back them with tests that fail the build when protection is missed: classification coverage, retention coverage, and permission parity. Data protection becomes a definition-of-done constraint, not a review at the end.
Verify and demonstrate
We verify the controls, obfuscate non-production data, and give you the artefacts that prove compliance: the classification register, the audit trail, and the subject-rights and retention tooling. The result is a system that can be asked hard questions and answer them from data.
Seen enough? Let's talk through your requirements.
Book a free consultationData protection engineering guides
Data Protection by Design: Standard Software Features
The standard features every GDPR-compliant system needs, and how to build them in.
Data Classification: Technical Implementation
Machine-readable tiers and overlays, SQL sensitivity labels, and build-enforced coverage.
Data Subject Rights, Retention and Erasure
Subject access, retention engines, crypto-shredding, and erasure that keeps the audit trail.
Beyond the UK: Multi-Jurisdiction Data Protection
Residency as topology and jurisdiction as data, across EU, Gibraltar, Australia, and Canada.
Frequently asked questions
What is data protection by design?
Data protection by design is the UK GDPR Article 25 requirement to build data protection into a system's architecture from the outset, rather than adding it after the fact. In engineering terms it is a defined set of features: data classification, deny-by-default access control, encryption, an immutable audit trail, consent and suppression, subject-rights tooling, and retention and erasure. We build these as constraints enforced in code and tests, not a checklist reviewed before launch.
Can you add data protection to an existing system?
Yes, though it is harder than designing it in. Some controls retrofit well, such as encryption at rest, transport hardening, and audit logging. Others are structurally harder to add late, including field-level classification, deny-by-default scoping, and crypto-shredding erasure. We start by classifying the data, then close the highest-risk gaps in priority order, so you get the biggest compliance improvement first.
How does this relate to your ISO 27001 and Cyber Essentials Plus certifications?
They reinforce each other. Our ISO 27001 information security management system and Cyber Essentials Plus accreditation provide the security foundation that data protection by design stands on. Neither proves GDPR compliance on its own, because they do not require data minimisation, consent, or subject rights. We treat the certifications and the data-specific controls as one programme.
Can one platform comply with multiple countries' privacy laws?
Yes, if it is designed for it. The core controls GDPR requires are near-universal across modern privacy regimes, so a GDPR-grade baseline satisfies most of what other laws ask. What varies is data residency, breach routing, and specific consent rules. We treat residency as deployment topology and jurisdiction as a first-class attribute, so one codebase serves many regimes. See our multi-jurisdiction data protection guide.
What is data classification and why does it come first?
Data classification is labelling every field by how sensitive it is and why, in a form the system can act on. It comes first because you cannot minimise, mask, encrypt, retain, or erase data consistently if the system does not know which columns are sensitive. We make classification machine-readable and enforced by a test, so it drives real controls. Our data classification guide covers the technical detail.
Is data protection by design a legal requirement?
Yes. Article 25 of the UK GDPR makes data protection by design and by default a legal obligation for data controllers, and the Information Commissioner's Office expects it. It is also sound engineering, because retrofitting access control, audit, and erasure into a live system is far more expensive and error-prone than designing them in. The legal requirement and the economics point the same way.
Explore our other services
Custom Software Development
Bespoke applications built with AI-accelerated delivery and full code ownership.
Enterprise Software Development
Mission-critical systems with complex compliance and availability requirements.
Cloud Application Development
Azure-native applications with infrastructure as code and security by design.
DevOps & Modernisation
CI/CD, infrastructure-as-code, and platform engineering with security built in.
Managed Application Support
SLA-backed support, monitoring, and incident management for live systems.
GDPR Compliance
How we handle data protection as a processor and build it into the software we deliver.
Building something that holds personal data?
Tell us about your system. We will map the data, propose the controls, and design data protection in from the first sprint.
Book a free consultationor call 01202 006729