AI-driven cybersecurity depends on vast amounts of personal data, raising critical privacy concerns around data misuse, bias and regulatory compliance. As AI automates threat detection and response, CISOs and data protection officers must address risks associated with data retention, lawful processing and algorithmic transparency. Ensuring AI aligns with privacy mandates requires robust governance, privacy-by-design principles, and strict data controls to mitigate both regulatory and ethical challenges.

The session will cover:

• Challenges in anonymizing and securely storing sensitive data;
• Implementing privacy by design in AI-driven systems;
• Deepfake technologies and their implications on identity and privacy.