Privacy by Design (PbD) is an approach that aims to integrate privacy and data protection measures into the design and development of systems, processes, and technologies from the outset. It ensures that privacy considerations are not an afterthought but rather integrated as part of the product/service design phase.
Privacy by Design (PbD) is advantageous to both individuals and organisations, providing individuals have more control over the use of their personal data. For organisations, the chances of data breaches and regulatory non-compliance are lowered.
Privacy by Design (PbD) is not just about compliance; it is a proactive approach that enhances customer confidence, and ultimately protects the reputation and operational integrity of the organisation.
The 7 Foundational Principles of Privacy by Design (PbD)
Proactive, not Reactive; Preventative, not Remedial
The essence of Privacy by Design (PbD) is its emphasis on the prevention of privacy risks rather than risk remediation. This principle anticipates privacy-invasive events before they occur. It requires a shift in mindset from damage control to proactive protection.
Privacy as the Default Setting
Privacy by Design (PbD) requires incorporating data protection measures and principles into systems without burdening users. It is achieved by adhering to fair information principles, including limiting data collection to what is necessary, using data for specified purposes only, and securely storing data for the shortest possible time.
Privacy Embedded into Design
Ensuring privacy as a core aspect of the organisation can be achieved by integrating privacy into the design of IT systems, products, and business procedures. Organisations should use fair information principles to guide their approach in integrating privacy into the design of systems. Conducting data protection impact assessments (DPIAs) is necessary to identify possible risks and implement mitigating techniques.
Full Functionality – Positive-sum, Not Zero-sum
When privacy is being incorporated into any process or system, it must be done so that the functionality of that process or system is not impaired but rather optimised. When objectives are decided, solutions that enable multi-functionality should be implemented instead of making unnecessary trade-offs. In other words, the aim should be privacy and security instead of privacy or security.
End-to-End Security – Full Lifecycle Protection
Strong security measures are vital to privacy, ensuring that personal data is securely used, stored and destroyed. Privacy by Design (PbD) promotes secure management of personal data throughout its lifecycle. Organisations must adopt security standards that always ensure the confidentiality, integrity, and availability of personal data.
Visibility and Transparency – Keep It Open
Transparency and accountability are key to building trust among all stakeholders, including individuals and regulatory authorities. Information about policies, procedures, and controls relating to the management of personal data must be made readily available to individuals.
Respect for User Privacy – Keep It User-centric
Individuals should be able to manage their personal data without additional actions. They should have simple options, granular control, adequate notice, and strong privacy defaults. Individuals' explicit and informed consent should be obtained where necessary for collecting and using personal data.
The Benefits of Implementing Privacy by Design (PbD)
Preventing data breaches and enhancing data security.
Building privacy into systems from the beginning helps reduce the risk of data breaches. Integrating privacy and security into the design strengthens the system and it is better equipped to protect personal data from unauthorised access, disclosure, alteration, or destruction.
- Building customer trust and confidence.
The organisation can build trust and enhance its reputation by showing accountability and transparency. When customers know their data is used responsibly and kept secure, they are more likely to stay loyal and build deeper relationships with the organisation.
- Ensuring compliance with data protection laws and regulations.
Incorporating privacy into all data lifecycle stages helps the organisation meet regulatory requirements. This proactive strategy is consistent with data protection legislation such as the GDPR and decreases non-compliance risk. While ongoing monitoring and adaptation to changing legal frameworks are important, the Privacy by Design (PbD) method establishes a solid foundation for compliance with data protection laws and regulations.
- Enhancing the reputation and competitive advantage of the organisation.
A reputation for being privacy-respecting can differentiate an organisation from its competitors and attract privacy-conscious customers. Moreover, Privacy by Design (PbD) helps to protect brand image and credibility by reducing the likelihood of data breaches, which can severely damage an organisation's reputation.
Step-by-Step Guide to Implementing Privacy by Design (PbD)
- Cultural Integration:
Privacy by Design (PbD) should be ingrained into the organisation's culture and influence every aspect of its operations. Every business decision, process, and system should prioritise privacy. Some key steps to achieving this include:
- Making privacy a core value by adding it to the organisation's mission and values.
- Assessing the current state of privacy practices in the organisation through a gap analysis.
- Aligning privacy with business goals and ensuring privacy programs support the overall business objectives.
- Ensuring adequate awareness and knowledge of privacy and data protection principles among employees through comprehensive training.
- Rewarding good privacy practices and ensuring open communication on privacy issues.
- Design and Development:
In the design stage, components and interactions in information systems are typically defined to fulfil functional and non-functional requirements. Privacy by Design (PbD) should be included as a requirement, integrating it into every phase of system development. Some strategies to implement in the design stage include:
- Minimising the collection of personal data.
- Segregating data into different environments based on their collection points, sensitivity, and purposes.
- Processing data in the most aggregated form possible.
- Informing individuals about how their personal data is processed and ensuring it is handled in a privacy-respecting manner.
- Allowing individuals to control decisions related to the processing of their personal data.
- Using privacy patterns, mapping data flow, and identifying and mitigating risks through privacy impact assessments and other risk assessments.
During the development stage, adequate security measures such as access controls and network security should be implemented. Production and testing environments should be separated and secure. If personal data is needed for testing, minimal or synthetic data should be used whenever possible; otherwise, the data should be pseudonymised or anonymised.
- Operational Practices:
Privacy controls must be operational and effective. This can be achieved by regularly monitoring and evaluating privacy controls and practices. Privacy policies and notices should be constantly updated to reflect changes in data handling processes, technological advancements, and regulatory requirements. A practical tip is to create a calendar for regular policy reviews.
Overcoming Challenges in Implementing Privacy by Design (PbD)
Implementing Privacy by Design (PbD) presents numerous organisational, technological, and regulatory challenges. These challenges include resource constraints, organisational resistance, conflicting business objectives, technological limitations, lack of clear legal requirements, and difficulty in translating legal requirements into technological or design solutions. Some strategies to overcome these challenges include;
- Increasing collaboration between legal and technical experts to narrow the gap between legal requirements and technical implementation.
- Adopting iterative approaches and flexible designs to accommodate changing regulatory requirements.
- Leveraging open source tools, frameworks, and technologies.
- Conducting cost-benefit analyses that justify privacy investments based on potential risks and benefits.
- Gradually introducing privacy-enhancing technologies to manage costs using a risk-based approach.
Case Study 1:
Estonia's citizen portal (Eesti.ee) provides users with several options for managing and controlling the use of their data. For instance, users may see who has accessed their data through the Personal Data Usage Monitor (open source on Github), which logs any activities involving personal data. A user can review these logs to identify any unauthorised use of their data and challenge any unauthorised access. In addition, patients can use the Estonian eHealth Patient Portal to see all their electronic health records (EHRs) and selectively share them with doctors after validating their identity with their digital ID.
Case Study 2:
India's virtual ID and tokenisation, Aadhaar, has two key components that improve privacy; (a) Virtual ID and (b) back-end UID tokenisation. The virtual ID service uses tokenisation to hide people's unique 12-digit Aadhaar numbers by creating a random 16-digit virtual ID. After creating a virtual ID, a user can authenticate using that 16-digit number instead of their Aadhaar number. One important privacy-enhancing feature is that the Virtual ID is temporary and revocable, so it cannot be relied upon to correlate information across databases. In addition to virtual ID, UID uses back-end tokenisation to manage the storage of Aadhaar numbers in service provider databases. As a result, when a user gives their Aadhaar number or virtual ID to a service provider for verification, the system uses a cryptographic hash function to generate a token unique to that service provider. Linkability of information across databases is prevented since various agencies receive different tokens for the same individual.
Essential Tools and Resources for Implementing Privacy by Design (PbD)
Tools and Software to Help Implement Privacy by Design (PbD)
- Trustless cloud storage: Proton Drive, Tresorit, Peergos
- Encrypted DNS providers: dns0.eu, Quad9, Control D Free DNS
- Encryption software: Crptomator, Picocrypt, Veracrypt
- File sharing and sync: Send, OnionShare, Nextcloud (self-hostable), FreedomBox, Syncthing
- Password managers: Bitwarden, KeePassXC, Proton Pass, Psono, goPass
- Device integrity verification: Mobile verification toolkit.
Useful Templates and Guides
- Understanding Data Protection Impact Assessments (DPIAs)
- Private Sector PIA Template
- Privacy Impact Assessment Toolkit
- Sample DPIA Template
Further Reading and Resources on Privacy by Design
- https://www.privacyguides.org/en/tools/
- https://www.enisa.europa.eu/publications/privacy-and-data-protection-by-design
- https://apdcat.gencat.cat/web/.content/03-documentacio/documents/guiaDesenvolupadors/GUIA-PDDD_EN.pdf
- https://jeffjonas.typepad.com/Privacy-by-Design-in-the-Era-of-Big-Data.pdf
- https://student.cs.uwaterloo.ca/~cs492/papers/7foundationalprinciples_longer.pdf
- https://ec.europa.eu/newsroom/article29/items/611236/en
- https://www.edpb.europa.eu/sites/default/files/files/file1/edpb_guidelines_201904_dataprotection_by_design_and_by_default_v2.0_en.pdf
- https://www.cs.ru.nl/~jhh/publications/pds-booklet.pdf
- https://iapp.org/resources/article/strategic-privacy-by-design/
- https://instituteofprivacydesign.org/certification-standard/
Key Takeaways & Wrap Up
In this article, we have helped you understand the following key points about Privacy by Design:
- Privacy by Design integrates privacy and data protection into the design and development of systems, processes, and technologies from the outset.
- Its seven principles include proactive measures, privacy as the default, embedding privacy into design, and ensuring transparency, user respect, and end-to-end security.
- Its seven principles include proactive measures, privacy as the default, embedding privacy into design, and ensuring transparency, user respect, and end-to-end security.
- Privacy by Design prevents data breaches, builds trust, ensures compliance with data protection laws, and enhances an organisation’s reputation and competitive edge.
- Implementation involves cultural integration, embedding privacy in design and development, and ongoing operational practices to maintain compliance.
Privacy by Design - FAQs
What are the costs associated with implementing Privacy by Design?
Privacy by Design (PbD) may require significant resources, including time, money, and expertise. However, the cost of not implementing it might be higher considering regulatory fines, reputational damage, and loss of customer trust.
How does Privacy by Design differ from traditional privacy approaches?
Privacy by Design (PbD) is a fundamental shift from traditional privacy approaches, where privacy is usually considered an add-on. It takes a preventative and proactive approach rather than a reactive one.
Can Privacy by Design be applied to existing systems?
Privacy by Design (PbD) involves integrating privacy into the core of systems, processes, and organisational culture from the outset, not afterwards. However, it is possible to retrofit Privacy by Design (PbD) principles into existing systems by assessing the current state of privacy practices and implementing privacy-enhancing measures.
What are the legal requirements for Privacy by Design under GDPR?
Art 25 of the GDPR requires that data controllers implement appropriate technical and organisational measures designed to implement data protection principles and integrate the necessary safeguards to protect individuals' rights and freedoms.
