As agentic AI systems become increasingly integrated into various sectors, the need for robust governance frameworks to ensure their safe and ethical deployment has never been more critical. This session will delve into the complexities of governing Agentic AI, exploring the latest strategies, best practices and regulatory approaches that can help mitigate risk. 

Agentic AI systems are moving from prototypes to production across the enterprise—retrieving data, surfacing insights, automating workflows, orchestrating tools, and making judgment calls in unpredictable environments. This keynote focuses on how enterprise AI governance must adapt to meet the challenge of agentic AI head on. Given that the fundamental objective of agentic AI is to take the human out of the loop, a new operating manual is required for AI governance leaders. You will learn:

What are the primary risks and challenges of enterprise use of agentic AI today

How can these risks be mitigated with technical and procedural controls

How to protect your organisation from data loss and data exfiltration

What happens when AI agents start communicating and coordinating with each other, across your myriad applications and systems

How to adapt your enterprise-wide approach to human oversight, incident response and AI cataloguing

When to keep the human in the loop: what decisions should not be outsourced to AI agents

Traditional AI governance frameworks were not built for the agentic AI era. The time to adapt is now.