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24/06/2026 9:07 pm
TL;DR: Microsoft Copilot can surface sensitive content already reachable through Microsoft 365 permissions, which makes over-permissioning, weak classification, and limited audit visibility core data security risks according to Netwrix. The governance problem is not the model itself but the access estate it inherits, where existing identity and data controls decide what Copilot can expose.
NHIMG editorial — based on content published by Netwrix: Microsoft Copilot and Data Security: Risks and Best Practices
By the numbers:
- When AWS credentials are exposed publicly, attackers attempt access within an average of 17 minutes and as quickly as 9 minutes in some cases.
Questions worth separating out
Q: How should security teams govern Copilot access in Microsoft 365?
A: Treat Copilot as a visibility multiplier on top of existing permissions.
Q: Why does Copilot increase the impact of poor data classification?
A: Because Copilot depends on the labels and access controls already present in the tenant.
Q: What breaks when organisations rely on traditional file access logs for AI-assisted work?
A: They miss the prompt context that explains why a disclosure happened.
Practitioner guidance
- Audit Microsoft 365 permissions before expanding Copilot Review SharePoint, OneDrive, Teams, and Exchange entitlements for users who can access confidential repositories, then remove broad access that is not tied to a clear business need.
- Validate sensitivity label coverage across priority repositories Check whether regulated, confidential, and IP-bearing content is consistently labelled across collaboration workloads.
- Add prompt and retrieval telemetry to audit workflows Make sure security operations can reconstruct prompt, retrieval, and output events when investigating AI-assisted disclosures.
What's in the full article
Netwrix's full blog post covers the operational detail this post intentionally leaves for the source:
- Step-by-step permission hygiene guidance across Microsoft 365 repositories and collaboration workloads.
- Practical examples of sensitivity labelling and DLP configuration for Copilot-ready environments.
- Monitoring and audit workflow options for tracking AI-assisted access and anomaly detection.
- Implementation context for Netwrix 1Secure DSPM and how it maps to Microsoft 365 data exposure.
👉 Read Netwrix's analysis of Microsoft Copilot data security risks and best practices →
Microsoft Copilot and data security: are your controls keeping up?
Explore further
25/06/2026 6:09 am
Copilot governance is an identity problem before it is an AI problem. The article is strongest when read through permission inheritance: Copilot only reveals what Microsoft 365 already allows the user to reach. That makes entitlement hygiene, classification quality, and auditability the controlling factors, not the model's language capability. Practitioners should treat AI deployment as an access-design review, not a product toggle.
A few things that frame the scale:
- DeepSeek accidentally embedded over 11,000 secrets in its training data and left a database exposed online, revealing more than one million sensitive records including chat histories, backend credentials, and API keys, according to DeepSeek breach.
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, with 46% confirmed and 26% suspected.
A question worth separating out:
Q: Who is accountable when Copilot surfaces sensitive information?
A: Accountability sits with the organisation that defined the permissions, labels, and monitoring, not with the AI layer alone. If Copilot exposes data that a user was already entitled to reach, the root cause is usually access design, poor classification, or weak audit evidence across the Microsoft 365 estate.
👉 Read our full editorial: Microsoft Copilot and data security: governance gaps practitioners miss
