Processing is becoming increasingly complex – especially when AI technologies are used. My new technical article shows how the Standard Data Protection Model (SDM 3.1) creates a clear structure for evaluating processing in a traceable, verifiable and risk-oriented manner.
Among other things, the article explains:
- how AI can improve the creation and quality of DSFA documentation,
- how the SDM cube model helps to systematically map processing steps, levels and assurance objectives,
- how the risks of modern AI systems can be transparently classified using SDM methodology,
- and why the combination of AI tools and SDM structure is a sustainable approach for data protection officers.
Ideal for data protection officers, controllers and specialists who want to evaluate modern AI processing in a robust and GDPR-compliant manner.
SDM 3.1 is the methodological basis for AI systems to create DSFA documentation and risk assessments in a structured, consistent and verifiable manner.
This allows even complex processing to be designed in a data protection-compliant, trustworthy and transparent manner.
Data protection officers are transitioning from document hunters and gatherers to strategic risk managers and evaluators of complex systems.
📄 (The entire article can be downloaded here in English as a PDF file - click)