A cloud-based delivery model provides software as an online service rather than through local installation. In identity governance, this approach typically improves deployment speed, scaling, and update cadence, while shifting responsibility toward integration design, data handling, and operational oversight across connected systems.
Expanded Definition
A cloud-based delivery model delivers security and identity capabilities as an online service, rather than as software installed and maintained on local infrastructure. In NHI and IAM programs, the model matters because the control boundary shifts: the provider may operate the application, but the customer still owns identity architecture, authorization design, data classification, and integration governance. That distinction is consistent with the risk-oriented view in the NIST Cybersecurity Framework 2.0, which emphasises managing outcomes across shared responsibilities rather than assuming the service itself is the control.
Definitions vary across vendors when cloud-based delivery is used as a proxy for “secure by default,” but no single standard governs this yet. For NHI security, the real issue is not whether the platform is cloud-hosted, but whether it supports policy enforcement for secrets, workload identities, auditability, and tenant isolation at the pace modern systems require. NHI Management Group treats the model as an operating choice with security implications, not as a guarantee of resilience. The most common misapplication is assuming the provider owns identity risk end to end, which occurs when teams outsource the platform without mapping who controls credentials, access reviews, and integration trust.
Examples and Use Cases
Implementing a cloud-based delivery model rigorously often introduces governance overhead, requiring organisations to weigh faster deployment and scaling against dependency on provider controls, integration discipline, and continuous configuration review.
- Centralised cloud IAM platforms issue short-lived workload access for containerised services, reducing the need for static secrets while still requiring careful role design and rotation policy.
- A SaaS secrets manager can simplify access to API keys across teams, but it can also magnify blast radius if permissions, tenant boundaries, or recovery workflows are misconfigured, as seen in incidents such as the Codefinger AWS S3 ransomware attack.
- Cloud-delivered identity governance can accelerate approvals and deprovisioning across hybrid estates, yet teams still need event-driven controls to keep pace with ephemeral compute and agent activity.
- Federated access to multi-cloud workloads benefits from external guidance such as NIST Cybersecurity Framework 2.0, especially when policy decisions span several providers.
- Shared cloud services can reduce local maintenance, but they also make privilege misconfiguration more visible, a pattern highlighted by NHIMG research on the Azure Key Vault privilege escalation exposure.
Why It Matters in NHI Security
Cloud-based delivery changes how NHI risk is created and detected. NHIMG’s 2024 Non-Human Identity Security Report found that 35.6% of organisations cite consistent access across hybrid and multi-cloud environments as their top NHI security challenge, which is a direct signal that delivery model choice affects identity control quality. The same report shows that 88.5% of organisations acknowledge their non-human IAM practices lag behind or are merely on par with human IAM, underscoring how service convenience can outpace governance maturity. That gap becomes more dangerous when cloud services are connected to agents, pipelines, and infrastructure automation that can act faster than human review.
In practice, the model matters because cloud-hosted platforms can reduce operational friction while also hiding the mechanics of trust, token handling, and privilege propagation. Security teams need to verify where secrets live, how identity assertions are validated, and how tenant or workload boundaries are enforced. This is especially important when cloud-delivered identity controls are used to federate access into environments already exposed to breaches such as the Snowflake breach or the 230M AWS environment compromise. Organisations typically encounter the full cost of the delivery model only after an integration failure, at which point identity governance becomes operationally unavoidable to address.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.SC-01 | Cloud delivery depends on managing supplier and service risk across shared responsibility boundaries. |
| NIST Zero Trust (SP 800-207) | SC-2 | Cloud-hosted identity services must still enforce explicit trust and least-privilege access decisions. |
| OWASP Non-Human Identity Top 10 | NHI-02 | Cloud delivery increases exposure if secrets and workload credentials are not tightly managed. |
Define who owns each control, review provider dependencies, and track cloud service risk continuously.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on August 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
