Topic starter
10/06/2026 9:47 pm
TL;DR: Data sprawl emerges when SaaS data, access, and ownership spread across disconnected tools, making visibility, compliance, and retention harder to govern, according to Zluri. For IAM and IGA teams, the real issue is not storage volume alone but the absence of lifecycle controls that keep data and access aligned.
Editorial analysis by NHI Mgmt Group, based on content published by Zluri: “How to Manage Data Sprawl in 2026: 5 Efficient Ways”.
Key questions
Q: How should security teams govern access across SaaS sprawl?
A: Security teams should govern SaaS sprawl with one inventory, one policy model, and one review process that covers both human and non-human access.
Q: Why does SaaS sprawl make governance and compliance harder?
A: SaaS sprawl creates multiple independent storage and access decisions across departments, which breaks visibility and weakens auditability.
Q: What breaks when data classification is missing from access governance?
A: Least privilege becomes too coarse to be useful.
Practitioner guidance
- Map SaaS applications to data owners Create an inventory of sanctioned SaaS apps, the data categories they hold, and the business owner responsible for each one.
- Tie access changes to lifecycle events Ensure joiner, mover, and leaver events trigger updates to application access, shared folders, and collaboration spaces that contain sensitive data.
- Classify data by sensitivity and retention need Use classification to separate regulated, operational, and redundant content, then apply distinct access and retention rules to each class.
Bottom line: Data sprawl in SaaS is best understood as a governance failure that starts when app ownership and access control fall out of sync.
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This topic was modified 4 days ago by NHI Mgmt Group
12/06/2026 6:40 am
Data sprawl in SaaS is an identity governance failure before it is a storage failure. The article is right to connect scattered data to scattered access, because SaaS sprawl breaks the assumption that one governance model can see and control the full estate. Once applications proliferate faster than ownership, classification, and access review, the programme loses the ability to say where data is, who should touch it, or when access should end. The practitioner conclusion is straightforward: treat SaaS data control as a governance boundary, not a storage task.
A question worth separating out:
Q: How do organisations reduce duplicate data without losing access to needed records?
A: Organisations should pair retention rules with ownership and access rules. That means keeping active working data in controlled locations, archiving completed material on a schedule, and removing redundant copies only after the business owner confirms the record is no longer needed. This avoids both clutter and accidental loss.
👉 Read our full editorial: Data sprawl in SaaS environments is an identity governance problem
This post was modified 4 days ago by NHI Mgmt Group