Cloud migration governance: what IAM teams are missing

TL;DR: Cloud migrations fail when governance fragments across policies, roles, metadata and access reviews, creating cloud chaos, data sprawl and AI-driven risk, according to Collibra. The central lesson is that migration speed without unified control turns identity, data and compliance gaps into operational debt, not strategic advantage.

NHIMG editorial — based on content published by Collibra: From cloud chaos to strategic command: The governance reset for enterprise migration

By the numbers:

• Only 13% of organisations feel extremely prepared for the reality of agentic AI despite the majority racing toward autonomous adoption.
• 70% of organisations grant AI systems more access than they would give a human employee performing the exact same job.

Questions worth separating out

Q: How should security teams govern cloud migrations without losing access control context?

A: Security teams should connect asset ownership, sensitivity and entitlements in one workflow before cutover.

Q: Why do lift-and-shift migrations create hidden identity and compliance risk?

A: Lift-and-shift often moves systems faster than governance can classify them.

Q: How do you know if cloud governance is actually working?

A: Cloud governance is working when every important asset has a current owner, an explicit policy, a review path and a traceable exception history.

Practitioner guidance

• Build a unified asset ownership map Link each migrated dataset or workload to a named owner, sensitivity label and policy authority before it is moved.
• Embed access review into migration workflow Require identity review at the same stage as workload readiness so entitlements, temporary exceptions and inherited permissions are checked together.
• Curate lineage with control relevance Track where data came from, who transformed it and which policy applies at each hop, so reviewers can tell whether a dataset is still fit for its intended use.

What's in the full article

Collibra's full blog post covers the operational detail this post intentionally leaves for the source:

• The vendor's step-by-step operating model for defining ownership, stewardship and risk management across migration phases.
• Detailed guidance on discovering and classifying data sources before cloud cutover, including how to curate data assets by criticality.
• The article's readiness checks for data quality, sensitivity and compliance before migration decisions are made.
• Examples of how Collibra frames policy, metadata and workflow centralisation for cloud governance at scale.

👉 Read Collibra’s cloud migration governance analysis →

Cloud migration governance: what IAM teams are missing?

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