Meetup: Data Minimisation in the Age of AI and Agentic AI: Privacy, Cyber Security and Practical Governance

Description

As organisations accelerate AI adoption, including increasingly autonomous and agentic tools, one governance challenge is becoming harder to ignore: data minimisation. Many AI initiatives are built on assumptions of broad data access, expanded reuse and longer retention. Yet privacy and cyber security expectations are moving in the opposite direction, towards necessity, proportionality, stronger controls, and better discipline over retention, access and deletion.

We will cover:

• why data minimisation is becoming more important as AI and agentic AI spread across organisations
• the current privacy and cybersecurity drivers shaping data minimisation expectations
• how to balance AI’s appetite for data with necessity, proportionality and defensible governance
• how agentic AI can expand data access, reuse, logging and retention risks
• how to explain and “sell” data minimisation internally
• practical tips for scoping and delivering data minimisation projects

For many organisations, data minimisation can feel like an uphill battle in an environment that rewards broader data access and faster AI deployment. This Meetup will focus on how to make it practical, defensible and achievable.

We hope you can join us for a timely and practical discussion.

Note:
This is an interactive discussion-based session. Participants are required to have their video cameras on to support active engagement.

The MeetUp will be conducted under Chatham House Rule and will not be recorded, to enable open discussion and the free exchange of views.