Technical GDPR Implementation
Privacy Engineering for the AI Era
GDPR compliance is not just a legal checkbox. GRAVITI implements the technical infrastructure that makes privacy-by-design operational across your data and AI systems, from consent management to automated data subject rights fulfillment.
Microsoft Azure
Amazon Web Services
Google Cloud
IBM Cloud
Oracle Cloud- Full flexibility in deployment options. We are not commercial partners of software vendors
Who Is It For
Technical GDPR implementation is for organizations that need to embed privacy controls into their data infrastructure and AI systems.
- DPOs and privacy teams needing technical implementation of GDPR requirements
- Engineering teams building data systems that process EU personal data
- AI teams that must ensure training data and model outputs comply with privacy regulations
- IT leaders responsible for data architecture decisions affecting privacy compliance posture
Our Approach to Technical GDPR Implementation
GRAVITI implements the engineering infrastructure that makes GDPR compliance systematic rather than manual. We build consent management systems, data subject rights automation, data inventory and mapping tools, and privacy-by-design patterns into your data architecture from the ground up.
Our engineers focus on the technical challenges that privacy teams cannot solve alone: automated data discovery across distributed systems, consent propagation through complex data pipelines, right-to-erasure execution across interconnected databases, and lawful basis tracking for each data processing activity.
For AI-specific privacy requirements, we implement training data lineage, model unlearning capabilities, automated DPIA tooling, and privacy-preserving techniques including differential privacy, federated learning configurations, and synthetic data generation for development environments.
Connecting to systems already in your organization
Our solutions include integration with popular market systems, as well as any additional system as needed
How We Deliver
- Data Mapping: Automated discovery and cataloging of personal data across all systems and data stores
- Consent Infrastructure: Build consent collection, storage, and propagation systems across the data lifecycle
- Rights Automation: Implement automated workflows for access, rectification, erasure, and portability requests
- AI Privacy Controls: Deploy training data governance, model privacy assessments, and privacy-preserving techniques
- Monitoring & Reporting: Launch privacy compliance dashboards with breach detection and regulatory reporting capabilities
Expected Outcomes
- Automated data subject rights fulfillment reducing response time from weeks to hours
- Complete personal data inventory with processing purpose and lawful basis documentation
- Privacy-by-design patterns embedded in data and AI system architecture
- DPIA automation and privacy risk monitoring for AI systems processing personal data
Service Model
- Assessment: 3-week data mapping and GDPR technical gap analysis
- Build: 10-16 week privacy infrastructure implementation and automation deployment
- Managed: Ongoing privacy monitoring, rights request support, and regulatory change management
Frequently Asked Questions
How do you handle right-to-erasure for data used in AI model training?
We implement model unlearning techniques and retraining workflows that can remove individual data contributions from trained models. For cases where full unlearning is impractical, we implement documentation and risk mitigation measures aligned with current regulatory guidance.
Can you automate DPIA for AI systems?
Yes. We build DPIA workflow tools that template assessments based on processing activity characteristics, automate risk scoring, and generate documentation meeting Article 35 requirements. AI-specific risk factors are included in assessment templates.
How do you track consent across complex data pipelines?
We implement consent propagation systems that tag data with consent status at the point of collection and enforce consent checks at every processing stage. When consent is withdrawn, propagation systems trigger downstream deletion or anonymization across all connected systems.
Does this work for organizations outside the EU?
Yes. Any organization processing personal data of EU residents needs GDPR compliance. Our implementations also align with CCPA, LGPD, and other privacy regulations, providing a unified privacy infrastructure that satisfies multiple regulatory frameworks.
Engineer Privacy into Your Systems
GDPR compliance requires technical implementation, not just policies. Let GRAVITI build the privacy infrastructure that protects personal data across your entire data and AI ecosystem.
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