Description

Introduction

While the fundamentals of GDPR offer a solid privacy framework, real-world complexities demand deeper strategies and refined controls. From cross-border data transfers to balancing data minimization with analytics, organizations must tackle nuanced issues head-on. This advanced session delves into interpreting grey areas, managing emerging technologies, and embedding compliance at scale.

Prerequisites

• A working knowledge of GDPR principles and roles

• Experience with GDPR implementation or compliance auditing

• Recommended for DPOs, privacy officers, legal counsel, and compliance teams

Table of Contents

1. Revisiting GDPR Core Principles in Complex Contexts

 1.1 Interpreting Lawfulness, Fairness & Transparency in Practice
 1.2 Data Minimization vs. Data Utility Dilemma
 1.3 Anonymization vs. Pseudonymization Trade-offs

2. Cross-Border Data Transfers

 2.1 Standard Contractual Clauses (SCCs) and Transfer Impact Assessments
 2.2 Binding Corporate Rules (BCRs)
 2.3 Post-Schrems II Compliance Challenges
 2.4 Cloud Services and Jurisdictional Conflicts

3. Complex Data Subject Requests

 3.1 Handling High-Volume Requests at Scale
 3.2 Dealing with Ambiguous or Vexatious Requests
 3.3 Ensuring Identity Verification and Security
 3.4 Balancing Rights: Erasure vs. Legal Retention Obligations

4. Profiling, Automated Decision-Making & AI Governance

 4.1 GDPR and Machine Learning Interpretability
 4.2 Transparency in Automated Decisions
 4.3 Consent vs. Legitimate Interest in AI Use
 4.4 Implementing Human Oversight Mechanisms

5. Sector-Specific Challenges

 5.1 GDPR in Healthcare and Biometric Data Processing
 5.2 Financial Services: AML, KYC, and Record Retention
 5.3 Education and Minors’ Data
 5.4 Media, Research, and Public Interest Exceptions

6. Privacy by Design and DPIAs for Emerging Tech

 6.1 DPIAs for IoT, Facial Recognition, and Smart Devices
 6.2 Blockchain and the Right to Erasure
 6.3 Designing Privacy-First Architectures
 6.4 Embedding Privacy Engineering into DevOps

7. Third-Party and Supply Chain Privacy Risks

 7.1 Managing Vendor Ecosystems at Scale
 7.2 Contractual Safeguards and DPA Clauses
 7.3 Audit Protocols and Due Diligence
 7.4 Joint Controller vs. Processor Role Clarity

8. Responding to Regulatory Investigations

 8.1 Incident Management and Breach Communication Strategy
 8.2 Cooperation with Supervisory Authorities
 8.3 Preparing for an Audit or Inquiry
 8.4 Lessons from Recent High-Profile Fines

Advanced GDPR compliance isn’t static—it evolves with legal interpretation, technology, and user expectations. Navigating complex challenges means making risk-informed decisions, documenting intent, and fostering cross-functional collaboration. Organizations that embrace privacy as a strategic differentiator will not only stay compliant but also gain trust in a privacy-first digital economy.