ENISA Issues Report on Implementation of Privacy and Data Protection by Design
Time 3 Minute Read

On January 12, 2015, the European Union Agency for Network and Information Security (“ENISA”) published a report on Privacy and Data Protection by Design - from policy to engineering (the “Report”). The “privacy by design” principle emphasizes the development of privacy protections at the early stages of the product or service development process, rather than at later stages. Although the principle has found its way into some proposed legislation (e.g., the proposed EU General Data Protection Regulation), its concrete implementation remains presently unclear. Hence, the Report aims to promote a discussion on how the principle can be implemented concretely and effectively with the help of engineering methods.

The Report provides an overview of the ways in which businesses have implemented the “privacy by design” principle into their products and services. To this end, the Report reviews existing approaches and strategies to implement privacy by design, and gives a structured overview of twelve important privacy techniques (such as authentication, attribute based credentials, encryption communications, anonymity and pseudonymity, etc.). Further, the Report presents the challenges and limitations of “by-design” principles for privacy and data protection.

The Report concludes with a number of recommendations that address system developers, service providers, data protection authorities (“DPAs”) and policy makers on how to overcome and mitigate these limits. The main recommendations include:

  • Policymakers should support the development of new incentive mechanisms for privacy-friendly services and need to promote them (e.g., the establishment of audit schemes and seals to enable the customer to make informed choices and the establishment of penalties for those who do not care or obstruct privacy-friendly solutions);
  • The research community should further investigate privacy engineering, especially with a multidisciplinary approach;
  • Software developers and the research community should offer tools that enable the intuitive implementation of privacy properties. These tools should integrate freely available and maintained components with open interfaces and application programming interfaces;
  • DPAs should play an important role in providing independent guidance and assessing modules and tools for privacy engineering, such as in the promotion of privacy-enhancing technologies and the implementation of the transparency principle;
  • Legislators should promote privacy and data protection in their norms from the legal European data protection framework; and
  • Standardization bodies should include privacy considerations in the standardization process as part of international standards, and should develop standards for the interoperability of privacy features in order to help users compare the privacy guarantees of different products and services and make compliance checks easier for DPAs.

View the full report.

You May Also Be Interested In

Time 1 Minute Read

As reported on the Hunton Employment & Labor Perspectives blog, SB 574 is a California bill that would set specific duties for attorneys who use generative artificial intelligence and would restrict how arbitrators may use such tools in decision-making.

Time 3 Minute Read

SB 574 is a California bill that would set specific duties for attorneys who use generative artificial intelligence and would restrict how arbitrators may use such tools in decision-making. It would amend provisions in the Business and Professions Code and the Code of Civil Procedure to address confidentiality, accuracy, bias, and citation verification for attorneys, and to prohibit delegation of arbitral decision-making to AI while adding disclosure and responsibility requirements for arbitrators.

Time 3 Minute Read

On Feb. 23, 2026, New York Governor Kathy Hochul announced that the New York Department of Financial Services (“NYDFS”) had published proposed rules implementing the state’s Buy Now, Pay Later (“BNPL”) law.  The proposal would establish the nation’s first comprehensive regulatory framework for the rapidly growing pay-over-time consumer market niche. 

Time 2 Minute Read

On February 23, 2026, a Joint Statement on AI-Generated Imagery was published by 61 data protection authorities. The Joint Statement addresses concerns regarding AI systems capable of generating realistic images and videos depicting identifiable individuals without their knowledge or consent.

Search

Subscribe Arrow

Recent Posts

Categories

Tags

Archives

Jump to Page