Data access governance: what IAM teams still miss

TL;DR: Data access governance focuses on who can reach sensitive files, why that access exists, and whether it is still justified, addressing permission sprawl, over-privilege, and audit gaps in cloud and file-share environments, according to Imprivata. The governance problem is not just identity control but proving data-level need, ownership, and recertification across changing access patterns.

NHIMG editorial — based on content published by Imprivata: Data Access Governance and why it matters

Questions worth separating out

Q: How should security teams govern access to sensitive files beyond IAM roles?

A: Security teams should use data access governance to validate whether a role-based entitlement still makes sense at the file, folder, or library level.

Q: Why do copied groups and inherited permissions create so much risk?

A: Copied groups and inherited permissions accumulate access that no one actively reapproved.

Q: How do you know if recertification is actually working for data access?

A: Recertification is working when reviews remove stale access, produce a named data owner for each sensitive repository, and leave behind clear justification for what remains.

Practitioner guidance

• Inventory sensitive data repositories first Build a complete map of file shares, cloud libraries, NAS locations, and collaboration spaces that hold sensitive information.
• Tie every entitlement to a business owner Require a named data owner for each sensitive repository and each high-risk access path.
• Use recertification to remove stale access Run recurring reviews on project folders, shared drives, and regulated data sets.

What's in the full article

Imprivata's full article covers the operational detail this post intentionally leaves for the source:

• Practical examples of how data access governance differs from IAM in file-share and cloud-library environments.
• More detail on compliance drivers such as DSGVO, NIS2, and healthcare audit requirements.
• Discussion of implementation prerequisites such as inventory, classification, and ownership workflows.
• Operational guidance on combining DAG with PAM, encryption, and monitoring without overlapping responsibilities.

👉 Read Imprivata's analysis of data access governance and IAM gaps →

Data access governance: what IAM teams still miss?

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