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Microsoft says Office bug exposed customers' confidential emails to Copilot AI

February 19, 2026
5 min
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By ZadeNor AI Team
Microsoft says Office bug exposed customers' confidential emails to Copilot AI

Microsoft says Office bug exposed customers’ confidential emails to Copilot AI

Microsoft's Copilot AI Bug Exposes Confidential Emails to Unwanted Processing

In a concerning revelation, Microsoft has confirmed that a bug in its Copilot AI allowed the AI to summarize customers' confidential emails for weeks without permission. The bug, which was first reported by Bleeping Computer, allowed Copilot Chat to read and outline the contents of emails since January, even if customers had data loss prevention policies to prevent ingesting their sensitive information into Microsoft's large language model.

The Bug and Its Impact

The bug, trackable by admins as CW1226324, means that draft and sent email messages "with a confidential label applied are being incorrectly processed by Microsoft 365 Copilot chat." This means that customers who had applied the confidential label to their emails were unknowingly allowing Copilot Chat to access and summarize their sensitive information.

Microsoft said it began rolling out a fix for the bug earlier in February, but the extent of the damage is still unclear. A spokesperson for Microsoft did not respond to a request for comment, including a question about how many customers are affected by the bug.

The European Parliament's Response

The European Parliament's IT department has taken a proactive approach to addressing the potential risks associated with AI-powered tools like Copilot Chat. Earlier this week, the department told lawmakers that it blocked the built-in AI features on their work-issued devices, citing concerns that the AI tools could upload potentially confidential correspondence to the cloud.

Why This Matters

The Microsoft Copilot AI bug highlights the importance of ensuring that AI-powered tools are designed with robust security and data protection measures in place. As AI becomes increasingly integrated into our daily lives, it's essential that we prioritize the security and confidentiality of our sensitive information.

Technical Details

The bug was caused by a misconfiguration in the Copilot Chat system, which allowed it to access and process emails that were flagged as confidential. This was a result of a combination of factors, including the use of a large language model and the lack of adequate data protection measures.

Practical Insights and Implications

The Microsoft Copilot AI bug has significant implications for organizations that rely on AI-powered tools to process sensitive information. It highlights the need for robust security and data protection measures, as well as the importance of regularly testing and updating AI systems to prevent similar bugs from occurring.

Forward-Looking Thoughts

As AI continues to evolve and become increasingly integrated into our daily lives, it's essential that we prioritize the security and confidentiality of our sensitive information. The Microsoft Copilot AI bug serves as a reminder of the importance of robust security and data protection measures, and the need for ongoing testing and updates to prevent similar bugs from occurring.

Conclusion

The Microsoft Copilot AI bug is a concerning revelation that highlights the importance of ensuring that AI-powered tools are designed with robust security and data protection measures in place. As AI becomes increasingly integrated into our daily lives, it's essential that we prioritize the security and confidentiality of our sensitive information. By taking a proactive approach to addressing the potential risks associated with AI-powered tools, we can ensure that we are using these tools in a way that is secure, confidential, and beneficial to society.


Source: https://techcrunch.com/2026/02/18/microsoft-says-office-bug-exposed-customers-confidential-emails-to-copilot-ai/

About the Author

ZadeNor AI Team is a leading expert in AI, contributing to cutting-edge research and development in the field.