TL;DR: On-premise and cloud IAM differ mainly in hosting, operational control, and compliance burden, while Soffid argues that both can be secure if matched to organisational needs and sector risk. The real decision is not security in the abstract but where identity governance, data control, and lifecycle accountability can be enforced most reliably.
NHIMG editorial — based on content published by Soffid: On-Premise vs Cloud: Which Model Should You Choose for Your IAM Platform?
Questions worth separating out
Q: How should security teams choose between on-premise and cloud IAM?
A: Choose the model that best matches your governance requirements, regulatory constraints, and operational maturity.
Q: Why does IAM deployment model matter for non-human identities?
A: Non-human identities depend on reliable provisioning, secret handling, logging, and revocation.
Q: What breaks when IAM is spread across hybrid and multi-cloud environments?
A: Consistency usually breaks first.
Practitioner guidance
- Define the control ownership split before choosing a deployment model Map provisioning, authentication, logging, key management, backup, and offboarding to either internal teams or provider responsibilities.
- Validate policy consistency across hybrid and multi-cloud paths Compare entitlement rules, secret handling, and revocation timing across every environment where identities operate.
- Test compliance evidence under real audit conditions Check whether your logs, retention settings, and administrative records can satisfy sector obligations without informal explanations.
What's in the full article
Soffid's full article covers the deployment trade-offs this post intentionally leaves at a higher level:
- Detailed explanation of how on-premise deployment changes local hardware, storage, and maintenance responsibilities
- Practical comparison of cloud access, subscription delivery, and provider-managed operational tasks
- Industry-based examples of why finance, healthcare, government, and startups often make different IAM hosting choices
- Summary of the cost and scalability implications that shape infrastructure planning
👉 Read Soffid's article on on-premise vs cloud IAM deployment choices →
On-premise IAM vs cloud IAM: where do governance trade-offs show up?
Explore further
Deployment model is a governance decision, not a security verdict. The article correctly avoids treating on-premise or cloud IAM as inherently better. The real issue is whether the organisation can prove control over identity policy, auditability, and lifecycle enforcement in the model it chooses. IAM programmes fail when they treat hosting as the decision and governance as an afterthought. Practitioners should decide based on control requirements, not marketing narratives.
A few things that frame the scale:
- 88.5% of organisations acknowledge that their non-human IAM practices lag behind or are merely on par with their human identity and access management efforts, according to The 2024 Non-Human Identity Security Report.
- A separate finding shows that 35.6% of organisations cite managing consistent access across hybrid and multi-cloud environments as their top NHI security challenge.
A question worth separating out:
Q: Who is accountable when a cloud IAM deployment fails audit or access governance?
A: Accountability should be shared but explicit. The organisation remains responsible for governance outcomes, even if a provider hosts parts of the service. Internal teams must own policy, evidence, and review cadence, while contracts should define provider-side controls and incident responsibilities.
👉 Read our full editorial: On-premise vs cloud IAM: what the deployment model changes