In regulated industries, every decision must be traceable, every action must be defensible, and every system must meet strict standards for security and control.
So, how do you introduce agentic AI into that environment without increasing risk?

In this session, we will explore how organisations across regulated industries are moving from experimentation to operational AI, while balancing automation with governance, compliance, and security.

Agentic AI systems can detect anomalies, investigate root causes, and trigger next-best actions in real time. But in regulated sectors, that intelligence has to be grounded in business context, secure by design, and fully auditable.

You’ll see how a governed semantic layer enables AI agents to:
• Ground decisions in trusted, business-defined logic
• Prevent hallucinations and ensure traceability
• Apply policy-aware guardrails and automated quality gates
• Embed secure, multitenant AI directly into enterprise workflows

If you're building AI for financial services, insurance, healthcare, manufacturing, or the public sector, and need it to pass security review, compliance audits, and executive scrutiny – this session is for you.

Move beyond proof of concept and see what it takes to operationalise agentic AI in a way your security, compliance, and data teams can actually support.