Using AI at Work: How to Keep It Secure

AI is everywhere right now, and in most businesses, staff have already started using it to write emails, draft documents, summarise meetings and speed up admin. That’s not a bad thing. 

The risk is when teams use public AI tools without clear rules, and sensitive business information ends up outside your environment. Using AI safely isn’t about shutting it down. It’s about putting the right guardrails in place so your team can work faster while you stay confident about privacy, compliance and data security. 

Why unmanaged AI use becomes a business risk 

• Confidential data can leak. It only takes one prompt with customer details, pricing, contracts or HR information to create a serious exposure. 

• You don’t know where your data is going. Many consumer tools have unclear retention and training policies, which may not align with your obligations. 

• It creates “shadow IT”. Teams adopt tools that IT can’t support, monitor or secure, so risk increases, and standards drop. 

• Outputs can be wrong. AI can sound confident while being inaccurate or out of date. If it’s used without review, it can cause real operational issues. 

• Threats are evolving. Techniques like prompt injection can use content inside emails, documents or websites to push an AI tool into unsafe behaviour. 

  
  

A practical checklist for using AI safely 

1. Set clear AI rules. Keep it simple: what AI can be used for, what’s off-limits, and when a manager or IT needs to approve. 

2. Define what must never go into a prompt. Think passwords, banking details, personal information, confidential client data, legal matters and HR issues. 

3. Standardise on approved tools. If you don’t provide a safe option, people will find their own. Approved tools reduce risk and make support easier. 

4. Use identity and permissions properly. Turn on MFA, enforce sign-in policies, and make sure AI access follows the same permissions as your files and systems. 

5. Require human review for high-impact work. Anything customer-facing, financial, legal or HR-related should be checked before it’s sent or actioned. 

6. Train your team. Show staff how to prompt safely, avoid oversharing, and verify answers (especially facts, figures and sources). 

7. Monitor and improve. Review usage, look for risky patterns, and update your approach as AI tools and threats change. 

8. Check vendor settings and data handling. Confirm where data is stored, what’s logged, and whether your organisation’s data is used for training. 

   
   

Why we often recommend Microsoft Copilot for business 

A big part of safe AI adoption is giving staff a trusted tool that fits your existing security model. Microsoft Copilot is a common starting point because it can be used for internal work (using your Microsoft 365 environment and permissions) as well as general web research. When those two use cases are clearly separated, it’s much easier to guide staff on what’s appropriate and reduce the chance of someone pasting sensitive information into a public tool. 

• Work mode: use this for internal tasks, such as summarising Teams meetings, drafting from policies, building an internal procedure, or creating a client email using information your team already has permission to access. 

• Web mode: use this for public research, such as industry trends, general how-to guidance, definitions, or market information where you don’t need to reference internal files. 

  
  

Where to start: 

Choose an approved AI tool, set a short policy, and run a quick team briefing on what can and can’t be shared. From there, expand AI use into more areas as your confidence grows, without losing control of your data. 

If you’d like help rolling out AI safely, including policy, licensing, security settings and staff training, we can help you put a practical plan in place.