Matt Cush
22nd July 2026
Artificial Intelligence is evolving at an extraordinary pace, and Claude has quickly earned a reputation as one of the most capable AI models available for business.
Naturally, many Microsoft 365 organisations are asking us the same question:
“Is it safe to use Claude in our business?”
The answer isn’t simply yes or no.
From a cybersecurity and governance perspective, Claude itself isn’t the primary risk. The real question is where it’s running, how employees are accessing it, and whether your organisation retains control over its data.
We’ve seen many organisations where well-intentioned staff are already uploading company documents into personal AI accounts to save time. While productivity may increase, it can also introduce new risks around confidential information, compliance, intellectual property and data governance.
The good news is that organisations invested in Microsoft 365 now have another option. Microsoft has begun integrating Anthropic’s Claude models into its own AI ecosystem, giving businesses the opportunity to leverage Claude’s capabilities while remaining within Microsoft’s enterprise security, identity and compliance framework.
For organisations that want to embrace AI without compromising governance, that’s an important distinction.
In this article, we’ll explain:
- Whether Claude is safe for business use
- The risks of using the standalone Claude application
- How Claude works inside Microsoft 365 Copilot
- Why AI governance matters more than the AI model itself
- The practical steps every organisation should take before rolling out AI to employees
Is Claude AI Safe for Business?
Claude, developed by Anthropic, is widely regarded as one of the strongest AI models available today for writing, reasoning, document analysis and coding.
Like every AI platform, however, its security depends entirely on where and how it’s deployed.
There is a significant difference between:
- An employee opening Claude in a browser and pasting confidential information into a personal account
- Running Claude models inside your governed Microsoft environment
- Deploying Claude through Azure AI Foundry with enterprise controls
Those are three very different risk profiles.
The Biggest Risk Isn’t Claude – It’s Shadow AI
Most organisations already have employees using AI without IT knowing.
This is often called Shadow AI.
Examples include:
- Uploading customer proposals into personal Claude accounts
- Asking Claude to analyse contracts
- Summarising confidential board papers
- Pasting source code into AI tools
- Uploading financial reports
Employees usually have good intentions.
They’re simply trying to work faster.
Unfortunately, this creates governance issues around:
- Intellectual property
- Customer confidentiality
- Data sovereignty
- Compliance obligations
- Records management
- AI-generated content ownership
Once business information leaves your managed Microsoft environment, your organisation has far less visibility into how that information is processed or retained.
Can You Use Claude Inside Microsoft 365 Copilot?
Yes.
One of Microsoft’s biggest AI announcements has been the introduction of Anthropic Claude models within Microsoft 365 Copilot.
Rather than forcing organisations to choose one AI vendor forever, Microsoft is moving towards a multi-model strategy, allowing customers to benefit from different models while remaining inside Microsoft’s enterprise security boundary.
This means users can access Claude’s reasoning capabilities while continuing to benefit from Microsoft controls such as:
- Microsoft Entra identity
- Conditional Access
- Purview
- Sensitivity Labels
- Audit logging
- Data Loss Prevention
- Microsoft 365 compliance policies
- Existing Microsoft licensing and governance
For many businesses, this is a much safer approach than encouraging staff to create standalone AI accounts.
Claude in Microsoft Copilot vs Standalone Claude
Standalone Claude | Claude inside Microsoft 365 Copilot |
Separate identity | Microsoft Entra authentication |
Separate governance | Microsoft governance controls |
Separate auditing | Microsoft audit logs |
Different compliance model | Existing Microsoft compliance framework |
Users manage their own accounts | Central IT administration |
Increased Shadow AI risk | Enterprise-managed AI |
The model may be similar.
The governance is completely different.
AI Governance Matters More Than the AI Tool
One mistake we often see is businesses focusing on which AI is smartest.
That’s the wrong question.
A better question is:
Can we govern how AI is being used across our organisation?
An effective AI governance strategy should cover:
Acceptable Use Policies
Clearly define:
- Which AI platforms employees may use
- Which information must never be entered into AI
- Approval processes for new AI tools
Data Classification
Not every document should be treated equally.
Sensitive information should already be classified using Microsoft Purview and sensitivity labels before employees begin using AI.
Identity & Access
Use Microsoft Entra policies to control:
- Who can access AI
- From which devices
- From which locations
- Under what security conditions
Monitoring & Auditing
IT should be able to answer questions such as:
- Who used AI?
- What applications were used?
- What data sources were accessed?
- Were any policies breached?
Without visibility, governance becomes impossible.
Should You Block Claude?
Usually, no.
History tells us that blocking useful technology rarely works.
Employees simply find another way.
A better strategy is to:
- Provide an approved enterprise AI platform
- Educate staff
- Implement governance
- Monitor usage
- Give employees secure tools that help them work faster
When organisations provide a secure, approved AI experience, Shadow AI typically reduces dramatically.
Best Practices for Secure AI Adoption in Microsoft 365
If you’re introducing AI into your business, consider the following:
- Deploy Microsoft 365 Copilot with appropriate governance
- Review Microsoft Purview policies
- Implement AI acceptable use policies
- Train employees on responsible AI use
- Enable auditing and reporting
- Classify sensitive information
- Restrict unmanaged AI services where appropriate
- Regularly review emerging AI tools and associated risks
AI governance should evolve alongside the technology.
Are you ready to adopt AI safely?
Whether you’re exploring Microsoft 365 Copilot, considering Claude, or developing a broader AI strategy, the technology is only part of the equation. The real value comes from implementing AI in a way that strengthens productivity without compromising security, compliance or governance.
The DRG team can help you assess your current environment, identify potential risks, establish practical AI governance, and ensure your organisation is set up to embrace AI with confidence.
If you’d like independent, practical advice on securely adopting AI within your Microsoft environment, we’d love to help.
Contact the DRG team today to discuss your AI strategy and build a secure foundation for the future.