GPA: How AI and Privacy Infrastructure Are Reshaping Data Protection in Practice

Part of the Global Privacy Assembly Open Programme.

As data protection frameworks have matured globally, leading companies and institutions have moved beyond paper-based compliance to embed privacy into their engineering foundations — a transition well established over recent years. However, building this infrastructure has been financially demanding and professionally challenging. AI now offers the potential to enhance and democratize access to these technologies, transforming how personal data can be protected at scale.

The global privacy community increasingly acknowledges that effective privacy protection requires more than legal frameworks alone — it demands robust technical implementation. Yet the conversation between technologists and regulators often occurs in silos. This panel creates a cross-stakeholder dialogue where regulators can share what they expect to see from companies in practice and regulatees can demonstrate how compliance is operationalized through engineering and AI.

What you will learn:

• Robust organizational measures reinforced by privacy engineering.

• How global companies implement compliance in practice, and how AI is transforming risk management.

• Embedding privacy in day-to-day operations at scale.

• What works, what does not and what is next.