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Bringing DPIAs into the Development Cycle: Privacy by Design Made Practical

How to integrate Data Protection Impact Assessments into your SDLC – without overwhelming your dev or product teams.
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  • Bringing DPIAs into the Development Cycle: Privacy by Design Made Practical
  • 19 May 2025 by
    Bringing DPIAs into the Development Cycle: Privacy by Design Made Practical
    CKonnect

    Let’s start with the basics

    A DPIA (Data Protection Impact Assessment) is a tool to help identify and minimize risks related to personal data. But for many teams, it becomes a static document — filled out once, stored somewhere, and forgotten.

    The real magic happens when DPIAs are treated as living documents — linked to the development process, not just compliance tasks.

    Step-by-Step: Mapping DPIAs into the SDLC

    1. Requirements Gathering

    • Trigger a DPIA pre-check for any new feature involving personal data.
    • Questions like “Do we really need this data?” or “Is there a less intrusive way?” should happen here.
    • Use a short, consistent checklist for product managers or analysts.

    2. Design Phase

    • Flag features needing a full DPIA (e.g., facial recognition, location tracking).
    • Involve the privacy team in design reviews.
    • Highlight architectural risks — like using external analytics tools — early.

    3. Development & Testing

    • Create privacy-aware stories (e.g., “As a user, I want to delete my account fully.”)
    • Add privacy tests: simulate data deletion, access controls, etc.
    • Use static code analysis tools to flag privacy red flags.

    4. Deployment

    • Revisit the DPIA: any last-minute changes?
    • Ensure DPIA outputs are documented and reviewed before launch.
    • Update risk assessments if integrations change.

    5. Post-Launch Monitoring

    • Re-run DPIAs when there’s a major change — new data types, geographies, or features.
    • Maintain DPIA logs centrally for easy reference during audits.


    What about Automation?

    It’s doable — and necessary. Here’s how:

    Tool/PhaseAutomation Tip
    JIRAAdd a custom DPIA flag or tag to stories that involve data.
    ConfluencePre-fill DPIA templates linked to product documentation.
    CI/CD PipelinesAdd privacy checks (e.g., are new fields documented and justified?).
    GitHub/GitLabUse pull request templates to ask, “Does this change affect personal data?”

    You don’t need to solve everything at once. Start small: one privacy prompt in your backlog, one form in your documentation, one review before go-live.


    Final Thought:

    DPIAs aren’t just for regulators — they’re for your users, your product, and your trust. Embedding them in your SDLC makes privacy a shared responsibility, not a siloed task. With small, consistent steps and a bit of automation, DPIAs can go from checkboxes to real tools that shape better, safer tech.

    Would you like a downloadable checklist, template, or even a plug-and-play Confluence/JIRA DPIA setup guide to go along with this? I can draft those next.


    By CourseKonnect | Powered by CKonnect

    in Where Privacy Meets Tech
    # Techie with Priv
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