Here is the honest situation. ENISA's data protection engineering guidance turns privacy principles into concrete engineering practice. It covers data protection by design and by default, privacy threat modelling, data minimisation, pseudonymisation and re-identification risk, encryption and privacy-preserving computation, least-privilege access, transparency and rights fulfilment mechanisms, privacy-enhancing technologies, protecting analytics and AI, and verifying and maintaining measures across the lifecycle. Building that engineering discipline and evidencing it is real work, and a team that treats data as anonymous when it is re-identifiable, or bolts privacy on at the end, is exactly where teams fall short.
This Kit removes that translation. It is every data protection engineering practice written as an adopt-ready control you personalize in a weekend, with the evidence a supervisor examines.
What you get, the moment you buy
Grounded in ENISA's data protection engineering guidance, with data protection by design, privacy threat modelling, data minimisation and pseudonymisation, encryption and privacy-preserving computation, access, transparency and rights mechanisms, privacy-enhancing technologies and lifecycle verification called out. Editable Word and Excel files.
What one control looks like
This is adopting data protection by design and by default, where privacy engineering begins. All 18 are built to this depth.
Why this is not another template pack
- The evidence is the point. A measure you cannot evidence is not data protection by design. This tells you what a supervisor examines and where teams fall short, for every practice.
- Pseudonymisation, encryption and PETs built in. The pseudonymisation and re-identification controls, encryption and privacy-preserving computation, and the PET evaluation are written into the controls.
- Built on a mapped compliance corpus, not one person's opinion, from a graph of thousands of controls across standards.
- It compounds. Data protection engineering operationalises the GDPR by-design duty and aligns with security engineering, so this work feeds your wider privacy and security program.
Who buys this
Engineering, product, privacy and security teams building systems that process personal data, and the leads who own data protection by design. Whether it is a first privacy-engineering standard or a system redesign, you save weeks and walk in with the measures and evidence structured.
Common questions
Is it really editable? Yes. Word and Excel files you own and adapt. No portal, no subscription.
Does it cover pseudonymisation? Yes. Pseudonymisation techniques and re-identification risk assessment are their own control group.
Does it cover privacy-enhancing technologies? Yes. Evaluating and adopting PETs, and protecting analytics and AI, are built as controls.
Does it help demonstrate data protection by design? Yes. It turns the by-design duty into engineering controls with the documentation to demonstrate it.
What if it is not for me? A 30-day money-back guarantee.
Instant digital download · 30-day money-back guarantee · The Art of Service Pty Ltd, GPO Box 2673, Brisbane QLD 4001 · support@theartofservice.com