White Paper: Deploying LLMs with confidence
AI governance and data protection guidance for teams using LLMs
Large Language Models (LLMs) are the technology behind tools such as ChatGPT, Microsoft CoPilot, Google Gemini, and Claude. They are already being used widely to help teams draft content, summarise documents, and analyse information. For many organisations, they are becoming invaluable tools and part of everyday work.
But they also create new data protection, security, and compliance risks.
This white paper explains what organisations need to consider when using LLMs, and how to put effective AI governance in place to support responsible and confident use.
What you’ll find inside: How can organisations deploy LLMs safely?
This guide explains what LLMs are, where the risks appear in everyday business use, the current legislation such as the GDPR, and emerging regulation like the EU AI Act, and what to do before these AI tools become too difficult to manage.
The guide will help you:
- Understand the regulatory requirements when deploying LLMs
- Set clear rules for LLM use, ownership, and accountability
- Identify the practical steps to building strong AI governance
You will also find a deployment readiness checklist.
Do you need help with LLM use and AI governance?
LLMs are being adopted rapidly across most industry sectors, and governance is struggling to keep pace. This can create uncertainty around which tools are being used, what data is being shared, and who is accountable for managing risk.
The DPO Centre helps organisations put practical AI governance in place, from policies and AI Impact Assessments to vendor checks, and ongoing oversight.
If you would like advice on managing your LLM use or reducing the data protection risks linked to AI, please contact us.