The General Data Protection Regulation places complex demands on Privacy-by-Design implementation through proactive privacy protection, privacy-as-default settings, privacy-embedded design, and full-functionality privacy balance for sustainable data protection governance. Successful GDPR Privacy-by-Design management goes beyond traditional compliance approaches and creates integrated privacy systems that smoothly connect privacy engineering, data minimization, and user privacy rights. We develop tailored Privacy-by-Design frameworks that not only meet regulatory requirements but also enable strategic business innovation, minimize privacy risks, and establish sustainable competitive advantages through superior privacy governance and data protection excellence.
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Article 25 GDPR makes data protection by design a legal duty for all controllers. Violations can result in fines of up to EUR 10 million or 2% of global annual turnover. Early implementation not only protects against sanctions but also strengthens trust among your customers and partners.
Years of Experience
Employees
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We work with you to develop a tailored privacy by design strategy that fully meets Article 25 GDPR and integrates seamlessly into your existing IT landscape and development processes.
Assessment: analysis of existing data processing activities and identification of action required
Risk analysis: data protection impact assessment and evaluation of technical safeguards
Measure planning: selection of appropriate technical and organisational measures (TOMs)
Implementation: deployment in systems, processes and development pipelines
Monitoring: ongoing review of effectiveness and adaptation to new requirements
"Strategic GDPR Privacy-by-Design excellence is the foundation for future-proof privacy engineering governance, combining comprehensive privacy compliance with operational business innovation. Modern Privacy-by-Design frameworks not only create regulatory certainty but also enable strategic user trust protection, privacy leadership, and sustainable competitive differentiation. Our integrated privacy governance approaches transform complex data protection challenges into strategic business enablers that ensure long-term business success and operational excellence."

Head of Information Security, Cyber Security
Expertise & Experience:
10+ years of experience, CISA, CISM, Lead Auditor, DORA, NIS2, BCM, Cyber and Information Security
We offer you tailored solutions for your digital transformation
We develop comprehensive privacy architecture frameworks that smoothly integrate full privacy transparency with operational efficiency while maximizing GDPR compliance.
We implement solid privacy engineering systems that create clear accountability, efficient privacy processes, and a sustainable data protection culture.
We develop comprehensive data minimization governance systems that support strategic privacy decisions while defining clear standards and guidelines.
We implement modern RegTech solutions that automate privacy enhancement while enabling real-time monitoring, intelligent analytics, and efficient reporting.
We create sustainable user rights cultures that embed privacy frameworks throughout the entire organization while promoting employee engagement.
We ensure long-term privacy excellence through continuous monitoring, performance assessment, and proactive optimization of your Privacy-by-Design frameworks.
Choose the area that fits your requirements
The General Data Protection Regulation places complex requirements on AI systems through privacy-by-design principles, automated decision-making compliance, transparency obligations and algorithmic accountability for secure AI data processing. Successful GDPR AI compliance management goes beyond traditional data protection approaches and creates integrated AI governance systems that smoothly connect AI innovation, regulatory compliance and operational efficiency. We develop tailored AI compliance frameworks that not only meet regulatory requirements, but also unlock strategic AI business opportunities, minimise risks and establish sustainable competitive advantages through superior AI governance and AI data protection excellence.
Art. 30 GDPR requires asset managers and fund management companies to document all processing activities involving personal data without gaps. A structured data inventory forms the foundation for records of processing activities, retention policies and the implementation of data subject rights. We support financial services firms from initial assessment through the creation of records of processing activities to audit-ready documentation of technical and organisational measures.
The General Data Protection Regulation presents banks and financial service providers with unique challenges due to complex customer data processing, cross-border data transfers, and strict regulatory requirements. Successful GDPR compliance in the banking sector requires more than standardized data protection approaches — it requires specialized banking expertise that smoothly connects data protection law with financial regulation. We develop tailored GDPR banking frameworks that not only ensure legal compliance but also increase operational efficiency, strengthen customer trust, and establish sustainable competitive advantages through superior data protection governance in the financial sector.
The General Data Protection Regulation places complex requirements on cloud computing environments through cross-border data transfer compliance, cloud provider due diligence, data residency requirements and multi-cloud governance structures for secure cloud data processing. Successful GDPR cloud computing management goes beyond traditional data protection approaches and creates integrated cloud governance systems that smoothly connect cloud privacy, vendor management and operational efficiency. We develop tailored cloud compliance frameworks that not only meet regulatory requirements but also unlock strategic cloud business opportunities, minimise risks and establish sustainable competitive advantages through superior cloud governance and cloud data protection excellence.
The General Data Protection Regulation places complex requirements on international data transfers through adequacy decisions, standard contractual clauses, and transfer impact assessments for secure cross-border data transmission. Successful cross-border transfer management goes beyond traditional compliance approaches and creates integrated governance systems that smoothly connect international data transfer security, regulatory compliance, and operational efficiency. We develop tailored transfer frameworks that not only meet regulatory requirements but also enable strategic international business opportunities, minimize risks, and establish sustainable competitive advantages through superior cross-border governance and international data protection excellence.
The General Data Protection Regulation places complex demands on data breach response management through time-critical notification compliance, comprehensive data subject rights fulfilment, regulatory authority communication and systematic post-breach recovery processes for sustainable data protection governance. Successful GDPR breach response management goes beyond traditional incident response approaches and creates integrated governance systems that smoothly connect breach prevention, rapid response and stakeholder communication. We develop tailored breach response frameworks that not only meet regulatory requirements but also enable strategic business continuity, minimise reputational risks and establish lasting competitive advantages through superior incident management governance and data protection excellence.
The General Data Protection Regulation (GDPR) requires systematic and sustainable implementation. We support you in the complete fulfillment of all data protection requirements.
Insurance companies process particularly sensitive personal data — from health data and creditworthiness information to risk profiles. The GDPR therefore imposes stringent requirements on the insurance sector: legal bases under Art. 6 and Art. 9, consent management, data protection impact assessments for scoring and profiling, and deletion concepts that account for insurance-specific retention obligations. We advise insurers on the practical implementation of all GDPR obligations — legally compliant, efficient and aligned with industry-specific regulations such as codes of conduct under Art. 40 GDPR and national insurance supervision requirements.
Ensure continuous compliance with GDPR requirements through our comprehensive ongoing compliance approach. We establish data protection governance structures, automated monitoring mechanisms, and proactive adaptation processes that guarantee lasting compliance and sustainably minimize data protection risks.
A professional GDPR readiness assessment reveals where your organisation stands on data protection. We evaluate your current maturity level, uncover compliance gaps, and develop a prioritised roadmap to full GDPR conformity.
GDPR Article 28 requires controllers to engage only processors that provide sufficient guarantees for appropriate technical and organisational measures. A legally sound data processing agreement (DPA) governs the subject matter, duration, purpose and security measures of data processing. ADVISORI supports you in selecting and assessing processors, drafting your DPA and establishing ongoing monitoring – practical, legally compliant and efficient.
Privacy by design – formally called data protection by design – is a requirement under Article 25(1) GDPR. It obliges controllers to implement appropriate technical and organisational measures at the time of determining the means for processing and at the time of the processing itself, in order to effectively implement data protection principles such as data minimisation. In practice, this means data protection is not added retrospectively but built into the system architecture from the outset. The measures must reflect the state of the art, the cost of implementation, the nature and scope of the processing, and the risks to data subjects.
Article
25 GDPR explicitly mentions pseudonymisation as an example. Beyond that, relevant measures include encryption of personal data in transit and at rest, data minimisation by collecting only strictly necessary data, purpose limitation through technical access restrictions, automatic deletion after retention periods expire, access controls on a need-to-know basis, and anonymisation wherever possible. The European Data Protection Board (EDPB) recommends in its Guidelines 4/2019 that these measures be implemented throughout the entire data processing lifecycle.
Privacy by design (Article 25(1) GDPR) concerns the fundamental system design: data protection is built into architecture and processes from the start. Privacy by default (Article 25(2) GDPR) concerns default settings: by default, only the personal data necessary for each specific purpose may be processed. This applies to the amount of data collected, the extent of processing, the storage period and accessibility. For example: privacy by design means developing a contact form so that it technically only permits necessary fields. Privacy by default means optional fields are not enabled by default.
Violations of Article
25 GDPR can incur fines of up to EUR
10 million or 2% of total worldwide annual turnover under Article 83(4) GDPR – whichever is higher. In practice, supervisory authorities have already imposed fines where organisations failed to integrate data protection from the outset. Beyond financial risk, reputational damage and loss of trust among customers and business partners can have lasting effects. An early privacy by design strategy is therefore not only a legal requirement but a sound business decision.
Implementing privacy by design follows several steps: first, a data protection impact assessment (DPIA) is conducted to identify risks. Then technical measures such as pseudonymisation, encryption and access controls are selected and implemented. Organisationally, data protection requirements are integrated into the development process – for example through data protection checklists in sprint planning or mandatory DPIAs before introducing new processing activities. The effectiveness of measures must be regularly reviewed and adapted to the state of the art. ADVISORI guides you through all of these steps and ensures your documentation meets supervisory authority requirements.
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