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22/06/2026 9:52 am
TL;DR: As enterprises spread access across AWS, Azure, and Google Cloud, least privilege becomes harder to enforce because each platform uses different IAM models, temporary permissions, and decentralised provisioning, according to SecurEnds. Centralised governance, automated access reviews, and entitlement management are now essential to keep human, workload, and service account access auditable and constrained.
NHIMG editorial — based on content published by SecurEnds: multi-cloud least privilege and centralized cloud access governance
Questions worth separating out
Q: How should security teams manage least privilege across AWS, Azure, and Google Cloud?
A: Security teams should use a single entitlement governance model that inventories identities, classifies privileged access, and tracks approvals and revocations across all cloud platforms.
Q: Why do service accounts create disproportionate least privilege risk in cloud environments?
A: Service accounts often run continuously, hold broad permissions, and are missed during review cycles because they do not behave like human users.
Q: What breaks when temporary cloud access is not tightly governed?
A: Temporary access quietly becomes standing privilege when expiry, validation, and revocation are weak.
Practitioner guidance
- Build a single cross-cloud entitlement inventory Aggregate human users, service accounts, APIs, workloads, and third-party integrations into one governed inventory so policy decisions are not made from partial data.
- Classify every privileged identity by risk and ownership Tag administrator roles, root access, sensitive application permissions, and unattended service accounts with clear owners, expiry expectations, and review cadence.
- Enforce expiry on temporary elevated access Make temporary access auto-expire unless explicitly renewed, and require a remediation record for any extension beyond the original task scope.
What's in the full article
SecurEnds' full article covers the operational detail this post intentionally leaves for the source:
- AWS, Azure, and Google Cloud permission model examples that show where least privilege diverges in practice
- Step-by-step guidance for centralizing entitlement reviews across multi-cloud accounts and subscriptions
- Specific metrics for tracking overprivileged identities, remediation completion, and review coverage
- Operational discussion of how SecurEnds positions automated access review and audit reporting across platforms
👉 Read SecurEnds' analysis of least privilege governance across AWS, Azure, and GCP →
Multi-cloud least privilege: where IAM governance breaks down?
Explore further
22/06/2026 10:30 am
Multi-cloud least privilege fails when governance is provider-local instead of identity-wide. The article shows that AWS, Azure, and Google Cloud each expose different permission structures, which makes policy consistency fragile once access is provisioned separately. The governance mistake is assuming cloud-native role models can be managed in isolation. Practitioners need a single entitlement view across the whole identity estate.
A few things that frame the scale:
- 70% of organisations grant AI systems more access than they would give a human employee performing the exact same job, according to the 2026 Infrastructure Identity Survey.
- Only 44% of organisations have implemented any policies to manage their AI agents, despite 92% agreeing that governing AI agents is critical to enterprise security.
A question worth separating out:
Q: Who is accountable when multi-cloud access reviews miss excessive permissions?
A: Accountability should sit with the identity governance function, the cloud platform owners, and the business owner for the access request. If any one of those groups treats reviews as a checkbox exercise, drift persists. Frameworks such as NIST Cybersecurity Framework 2.0 and zero trust architecture both depend on evidence that access is continuously validated.
👉 Read our full editorial: Multi-cloud least privilege needs centralized governance to work
