Copilot exposure and hidden data risk: are your controls keeping up?

TL;DR: Microsoft Copilot can amplify existing permission and identity hygiene gaps, increasing the likelihood of data breaches and compliance failures in unprepared environments, according to Netwrix. The real issue is not the AI tool itself but the exposure created when data visibility, access review, and identity controls are fragmented across hybrid estates.

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By the numbers:

• 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.
• Only 5.7% of organisations have full visibility into their service accounts.
• 79% of organisations have experienced secrets leaks, with 77% of these incidents resulting in tangible damage.

Questions worth separating out

Q: How should security teams govern Copilot access to sensitive data?

A: Security teams should govern Copilot access by first classifying sensitive data, then tying each repository to the identities that can expose it through AI-assisted workflows.

Q: Why do AI assistants increase the impact of permission sprawl?

A: AI assistants increase the impact of permission sprawl because they can operate over whatever access already exists.

Practitioner guidance

• Map sensitive data to consuming identities Build a current inventory of sensitive repositories and tie each one to the human, service, and AI-mediated identities that can reach it.
• Connect DSPM findings to identity telemetry Feed classified data locations into identity monitoring so that suspicious access, unusual bulk retrieval, or broad entitlement use can be detected in context.
• Tighten permissions before enabling AI assistants broadly Review inherited permissions, shared folders, and over-broad group memberships before expanding Copilot-style access.

What to expect at the briefing

Netwrix's full webinar covers the operational detail this post intentionally leaves for the source:

• A live demonstration of how DSPM and ITDR are combined into a single deployment path for hybrid environments.
• Practical discovery and classification steps for sensitive data, including hidden repositories that teams often miss.
• Examples of real-time alerts and response playbooks for identity-driven data exposure events.
• Workflow guidance for reducing over-sharing to AI tools such as Copilot without blocking legitimate business use.

👉 Register for Netwrix's webinar on Copilot exposure, DSPM, and identity risk →

Copilot exposure and hidden data risk: are your controls keeping up?

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