AI changes how data is accessed, processed, and retained but many organisations are applying traditional data security assumptions to entirely new workflows. This session explores what actually happens to your data when using AI services, especially in cloud-hosted and SaaS-based AI platforms.

We’ll break down data boundaries, training vs inference concerns, identity and access controls, network isolation, logging, and common misconceptions around “private” AI services. The goal is to help teams make informed decisions about where AI fits and where it doesn’t, when data sensitivity matters.

Target audience: Security professionals, architects, data owners, platform teams
Level: Intermediate
Duration: 45–60 minutes
Cloud-first, Azure-centric but broadly applicable
Focus on governance, risk, and real-world trade-offs
No ML knowledge required