Our data protection by design and default advice and guidance helps you integrate and document technical and organisational controls directly into your systems, product lifecycles, and business practices from the very start, reducing your development costs and reducing processing risks:
Data Protection Impact Assessments (DPIAs)
We help you establish a structured DPIA framework to identify, evaluate, and mitigate risks before new systems, products, or processing activities launch. We support your teams through risk screening, impact scoring, and mitigation planning to meet your statutory obligations and safeguard your customers.
Data minimisation and purpose limitation
We review and challenge product requirements and data architectures to ensure you use only data necessary for your initiative. Embedding data minimisation defaults into system design reduces exposure and streamlines storage management.
Technical and operational safeguards
We advise on, and have significant experience implementing, a broad range of technical measures such as pseudonymisation, end-to-end encryption, robust access controls, and automated retention controls. Incorporating these safeguards directly into systems ensures personal data remains protected throughout its lifecycle and prevents costly manual overhead once in production.
User transparency and choice
We support you to create intuitive, user-friendly interfaces and consent management flows. From transparent just-in-time notices to granular opt-in/opt-out controls, we help you avoid complaints from customers while maintaining full regulatory transparency.
Secure Development Life Cycle (SDLC)
We iddentify and integrate data protection and security checkpoints directly into your agile or waterfall development workflows. Equipping product managers, developers, and architects with the necessary design patterns and threat modeling techniques ensures compliance throughout continuous release cycles.
Vendor and technology integration risk
We can review your third-party APIs, software libraries, cloud infrastructure, and SaaS platforms prior to integration. Auditing third-party components ensures that external technologies built into your products adhere to the same privacy-by-design standards as your internal code.
