Large Language Models (LLMs) such as ChatGPT, Microsoft CoPilot, Google Gemini, Claude and other bespoke models are fast becoming essential tools for everyday work tasks. However, for many organisations this pace of adoption is raising important concerns around vulnerabilities and accountability. 

The challenge is how to support this innovation without escalating data protection, security, and compliance risks. 

Join David Smith, AI Sector Lead and DPO, and Michael McCagh, DPO from The DPO Centre, alongside guest speakers for an expert-led discussion. Together they bring deep expertise across AI and data protection. They will explore how to manage the hidden risks of LLMs and put effective governance and processes in place. 

You’ll learn: 

  • What responsible LLM use looks like in practice 
  • Where gaps can appear in AI policies, processes, and employee guidance 
  • What organisations should be implementing now to support safer, more confident LLM use 

The session will close with an open Q&A, giving you the chance to hear practical insight from our AI data protection and AI specialists on any issues you’re currently facing. 

Watch On Demand

July 14, 2026

LLMs AT WORK: The hidden compliance risks of everyday AI tools

Large Language Models (LLMs) such as ChatGPT, Microsoft CoPilot, Google Gemini, Claude and other bespoke models are fast becoming essential tools for everyday work tasks. However, for many organisations this pace of adoption is raising important concerns around vulnerabilities and accountability.  The challenge is how […]
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