Your carefully crafted data anonymisation techniques are obsolete. What once required specialized expertise to break privacy guarantees is now possible with simple AI models, putting powerful pattern analysis in everyone's hands. Modern AI can reconstruct identifiable patterns from 'anonymised' data, breaking privacy guarantees you thought were solid. Through theory and live demonstrations, we'll explore how traditional privacy approaches fall short in an AI-first world, and what practical steps you can take today.

You'll learn why common anonymisation techniques fail against even basic AI analysis, understand core privacy-preserving principles, and see real implementations that better protect user data. We'll explore modern privacy techniques like differential privacy and federated learning, focusing on practical approaches you can implement now. You'll leave with both the knowledge to assess privacy vulnerabilities and concrete tools to address them.

Key takeaways:
- Why AI makes pattern analysis accessible to everyone, not just specialists
- How traditional privacy and anonymization tools fail against basic AI analysis
- Understanding the new ways AI can reconstruct identities and relationships
- Practical architectures and techniques for building AI-resistant privacy systems