When your own resources aren’t always enough
Struggling to keep up with impact assessments?
Do you know how to conduct a proper Data Protection Impact Assessment (DPIA), what tools to use, or which processes can help you complete them efficiently?
New technologies used for processing personal data can be technically complex, which often leaves privacy risks unnoticed without sufficient technical expertise. In the worst case, delays in impact assessments may cause the business to avoid addressing privacy matters altogether.
A Cost-Effective and Proven Approach
We have developed an efficient process and tool — PrivacyDesigner — for conducting Data Protection Impact Assessments (DPIAs) in a cost-effective way. The assessments are carried out as interactive workshops, during which the necessary information is gathered through interviews and the target system is visualized in a data flow map. This approach supports a comprehensive understanding of the assessment subject.
Getting familiar with your documentation
First workshop
Second workshop
Delivering the final report
Comprehensive End Result
We provide a clear assessment of the target and its impact on data protection. The final report always includes a data flow diagram of the assessed target, the purposes of processing, related IT systems and other assets, third parties, and any data transfers to third countries.
In addition, the report covers a description of compliance with data protection obligations, the risks to data subjects, as well as the planned measures and recommendations for improving data protection and managing risks.
PrivacyDesigner is the choice for organizations that want to enhance their privacy operations and strengthen stakeholder trust.
Our team combines a unique mix of technological and legal expertise. We have trained hundreds of privacy professionals and shared in-depth knowledge on conducting impact assessments.
We have supported privacy development in organizations of all sizes and carried out impact assessments across a wide range of industries, from cloud platforms (Azure, AWS) to AI systems (Copilot, generative AI).
