AI is rapidly becoming embedded in the tools, workflows, and agents that power modern work. But securing AI is not a single problem. It spans AI-generated threats, data exposure, and the risks introduced by AI agents. Yet many organisations continue to address these challenges separately, creating gaps in visibility, governance, and control.

As AI adoption accelerates, organisations need a more unified approach to securing the AI that powers work, enabling innovation while maintaining trust, resilience, and control.

The challenge isn't whether AI will transform the way we work. It's whether security strategies can evolve quickly enough to keep pace.

In this session, our panel of experts discusses:

• Why AI risks extend beyond models and prompts
• How threats, data, and AI agents create interconnected risk
• The principles for building a unified AI security strategy