AI has moved from experimentation to accountability. Customers, boards, regulators and auditors across ANZ have all started asking the same question at the same time: who governs your AI, and can you prove it? This session is for growing organisations ready to move beyond proofs of concept and run agentic AI in real-world production on AWS, with the governance to back it up.
Across the session, PolarSeven and Scytale unpack what auditors look for first, where the common governance gaps hide, what the emerging ISO 42001 standard actually asks for, and what good governance looks like running live on AWS.
What you’ll learn
- Why the audit is already starting, and the shift from “move fast” to proving control and accountability
- The governance gaps we keep seeing: controls teams assume they have but don’t, unclear ownership, and no real AI inventory
- ISO 42001 explained simply: the world’s first AI management system standard, and why it looks a lot like ISO 27001 with an AI layer on top
- What good looks like on AWS, shown live: a guardrail blocking the wrong request, access control stopping the wrong person, and the logs that prove both
Who it’s for
Whether you’re building AI systems or accountable for them, this session shows where auditors look first and how to be ready before they ask. It’s written for both the technical teams deploying GenAI on AWS and the leaders answerable for how it’s governed.
Our speakers
- Darrell King, CEO & Founder, PolarSeven
- Jackson Morgan, Business Development Manager, PolarSeven
- Simon Morgan, Senior Solutions Architect, PolarSeven
- Wesley van Zyl, Head of Customer Success, Scytale
Ready to talk about your own AI governance?
Book a complimentary AI Discovery Session to map where you stand and where auditors will look first. Get in touch at hello@polarseven.com or explore more at polarseven.com.
Author - Diane Terres
