AI is reshaping how organisations create, access, and share data. From enterprise copilots to agentic AI, sensitive information is moving across email, collaboration platforms, SaaS applications, and AI workflows faster than many security teams can operate. Employees are experimenting with AI tools outside corporate controls, while AI systems and agents operate with unprecedented speed and scale. At the same time, regulatory pressure and the cost of data breaches continue to rise.

As organisations enter the new agentic workspace, data security and governance challenges are expanding beyond traditional access controls. AI models and autonomous agents can surface, infer, transform, and reuse sensitive information in ways that are difficult to track with conventional security approaches. This makes it harder to understand not just who has access to data, but how data is being used, shared, and acted upon across both human and AI-driven activity.

In this environment, organisations need security and governance strategies that combine visibility, context, and intent to reduce exposure without slowing innovation.

Join this Power Series as our panel of experts discusses:

• Key data risks introduced by AI and agentic workflows
• Building an effective data security framework that emboldens AI adoption
• Protecting sensitive data across human and AI collaboration
• How organisations can secure data usage, not just access
• The implications of AI on visibility and control of data