Your carefully crafted data anonymisation techniques are obsolete. Modern AI models 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, 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:

- Understanding how AI breaks traditional privacy approaches
- Core principles of privacy-preserving design
- Practical implementation techniques through live demos
- Immediate actions to improve data privacy