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24/06/2026 8:52 pm
TL;DR: Microsoft 365 Copilot can expose overshared data, excessive permissions, and compliance blind spots if data classification and identity controls are not aligned, according to Netwrix. The governance gap is structural: AI can only be as safe as the access model and data estate it is allowed to search.
NHIMG editorial — based on content published by Netwrix: Netwrix Innovation Week Copilot Readiness for a hybrid data estate
Questions worth separating out
Q: How should security teams prepare for Copilot access risk in Microsoft 365?
A: Start by treating Copilot as a visibility amplifier, not a new permission system.
Q: Why do excessive permissions matter more when AI assistants are added?
A: Excessive permissions matter more because AI can search and summarise across the access it already has.
Q: How do you know if Copilot readiness controls are actually working?
A: Look for fewer overshared files, reduced dormant access, improved data classification coverage, and fewer high-risk identities with access to sensitive stores.
Practitioner guidance
- Map Copilot exposure to existing entitlements Inventory which identities can already reach sensitive content in SharePoint, Teams, and adjacent collaboration stores.
- Classify sensitive data before enabling AI search Use DSPM to identify where sensitive documents live, how they are shared, and which locations should be excluded or tightly governed before Copilot adoption expands the discovery surface.
- Reduce standing privilege and stale access Review privileged roles, broad group memberships, and dormant access that can widen Copilot exposure.
What's in the full article
Netwrix's full blog post covers the operational detail this post intentionally leaves for the source:
- How the vendor positions DSPM, ITDR, and PAM together as a Copilot readiness workflow
- Examples of the dashboards, risk scoring, and maturity assessments used to measure readiness
- The integration angle with identity posture tooling for Active Directory and Entra ID
- The broader Innovation Week context behind the Copilot readiness discussion
👉 Read Netwrix's Copilot readiness discussion for Microsoft 365 →
Copilot readiness: are your access and data controls aligned?
Explore further
25/06/2026 5:43 am
Copilot readiness is really permission readiness. The article’s core point is that AI does not create new entitlement logic, it exposes the quality of the existing one. That means every overshared folder, stale group membership, and over-permissioned identity becomes part of the AI attack surface. For practitioners, the programme question is not whether Copilot can be enabled, but whether current authorisation boundaries are trustworthy enough for machine-assisted discovery.
A few things that frame the scale:
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, 46% confirmed, 26% suspected, according to The 2024 ESG Report: Managing Non-Human Identities.
- More than 1 in 5 non-human identities are insufficiently secured, which helps explain why overexposure often survives until an AI layer makes it visible.
A question worth separating out:
Q: Who is accountable when Copilot exposes internally shared data?
A: Accountability sits with the organisation’s data and identity governance, not with the AI feature itself. The shared responsibility model means Microsoft provides the service, but the business owns classification, permissions, and internal sharing discipline. That is why audit evidence must show control ownership and remediation, not just tool deployment.
👉 Read our full editorial: Copilot readiness depends on data and identity governance
